BMS, Hengrui Pharma Partner on 13 Programs in Up-to-$15.2B Collaboration

Bristol Myers Squibb (BMS) will partner with Hengrui Pharma to co-develop 13 early-stage programs in oncology, hematology, and immunology, the companies said today, through a collaboration that could generate more than $15.2 billion for the Chinese drug developer.

BMS and Hengrui have inked global strategic collaboration and license agreements covering the 13 candidates—consisting of four oncology/hematology assets from Hengrui, four immunology assets from BMS, and five “innovative” assets to be jointly discovered and developed by both companies.

The companies said their collaboration is intended to combine BMS’ research and discovery strengths, global clinical development capabilities, regulatory expertise, and commercial scale with Hengrui’s discovery engine, platform technologies, and efficient early-stage development expertise.

To that end, Hengrui has agreed to fully oversee early clinical development in order to accelerate clinical proof of concept for these programs. Hengrui has the option to co-develop select assets and the potential to conduct certain commercialization activities globally with BMS.

“By leveraging Hengrui’s growing R&D capabilities and proven efficiency in discovering and advancing innovative therapies, we are poised to advance the best of both pipelines,” Frank Jiang, MD, PhD, Hengrui’s executive vice president and chief strategy officer, said in a statement. “It also reflects Hengrui’s continued commitment to strengthen our global presence.

BMS will obtain exclusive worldwide rights to the Hengrui‑originated candidates outside China, Hong Kong Special Administrative Region (SAR), and Macau SAR—Hengrui’s territory of operation—while Hengrui will gain exclusive rights to the BMS‑originated assets within those areas, with BMS retaining rights for the rest of the world.

$950M over two years

BMS has agreed to pay Hengrui up to $950 million over two years, to consist of a $600 million upfront payment, a $175 million first anniversary payment, and a second contingent anniversary payment of $175 million in 2028.

The approximately $15.2 billion value of the collaboration includes exercising available options for the joint discovery programs and achieving development, regulatory, and commercial milestones for all programs. Hengrui also is eligible to receive tiered royalties on net sales of products commercialized outside its territory.

The collaboration deal is expected to close in the third quarter, subject to review under the Hart‑Scott‑Rodino Antitrust Improvements Act and other customary closing conditions.

“This strategic collaboration reflects our commitment to advancing innovative science while maintaining a disciplined approach to portfolio management,” stated Robert Plenge, MD, PhD, BMS executive vice president and chief research officer. “By leveraging complementary capabilities across geographies, we aim to accelerate early clinical learning and make informed decisions that support driving top tier growth in the next decade and, ultimately, our mission to deliver medicines that help patients prevail over serious diseases.”

Recouping ‘patent cliff’ losses

Behind that focus on top-tier growth for BMS, as with other pharma giants, is a quest to recoup the billions of dollars in sales it stands to lose as aging blockbuster drugs head for the proverbial “patent cliff” by losing exclusivity in the U.S. and other key markets.

Of the Top 20 Drugs Heading for the Patent Cliff through 2029—the subject of a GEN A-List last November—BMS had three marketed treatments: The cancer drug Revlimid® (lenalidomide), indicated for forms of multiple myeloma, myelodysplastic syndromes, and three forms of lymphoma, which lost U.S. exclusivity in January; and two drugs set to lose exclusivity in 2028: the cancer immunotherapy Opdivo® (nivolumab), and the factor Xa-inhibiting blood thinner Eliquis® (apixaban).

Eliquis generated $14.443 billion in product revenue last year plus another $4.137 billion in the first quarter. Opdivo made $10.049 billion in 2025 plus $2.146 billion in Q1, while Revlimid racked up $2.951 billion and $349 million.

BMS has laid groundwork for rebuilding its pipeline over the past year through a series of collaborations and acquisitions with companies that include:

  • Janux Therapeutics: An up-to-$850 million partnership announced in January to co-develop a tumor-activated therapeutic targeting an undisclosed “validated solid tumor antigen expressed across several human cancer types.” ($50 million upfront).
  • Harbour BioMed: An up-to $1.125 billion partnership with the Chinese biopharma—owned to discover and develop next-generation multi-specific antibodies ($90 million upfront), announced in December 2025.
  • Orbital Therapeutics: A $1.5 billion cash acquisition of the developer of RNA therapies designed to treat disease by reprogramming cells in vivo, announced in October 2025.
  • 2seventy bio: An approximately $286 million buyout of its partner in developing the blockbuster multiple myeloma drug Abecma® (idecabtagene vicleucel), announced in March 2025. Abecma made $427 million last year. The drug’s sales are no longer reported individually but within BMS’ “Growth portfolio” that garnered $581 million in Q1 2026.

Five castoffs

BMS also outlicensed five pipeline assets to Beeline Medicines, an autoimmune and inflammatory drug developer formed in April with a $300 million Series A financing from Bain Capital. Beeline’s pipeline of BMS castoffs includes afimetoran, being developed for both cutaneous lupus erythematosus (CLE) and systemic lupus erythematosus (SLE), BMS-986326 (atopic dermatitis, CLE, and SLE); lomedeucitinib (formerly BMS-986322, plaque psoriasis), and two IND-stage next-generation biologics for unspecified diseases that target the IL-18 and IL-10 pathways.

Hengrui last September outlicensed its cardiac myosin inhibitor RS-1893 to Braveheart Bio ($65 million upfront, up to $1.013 billion in milestones); and two months earlier inked an up to $12.5 billion ($500 million upfront) partnership with GlaxoSmithKline (GSK) to develop to develop chronic obstructive pulmonary disease (COPD) candidate HRS-9821 and 11 additional programs across respiratory, immunology and inflammation, as well as oncology indications.

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Targeted Ultrasound Could Offer Alternative to Chronic Pain Medication

A new study has shown that targeting ultrasound stimulation to brain regions involved in processing pain can induce long-lasting changes in brain activity, significantly reducing pain perception. Published in Nature Communications, these findings point at a novel non-invasive strategy to treat chronic pain. 

“Our study represents an important first step in understanding how this technology can non-invasively stimulate deep brain regions involved in pain processing,” said Sam Hughes, PhD, senior lecturer in pain neuroscience at the University of Exeter. “We found that targeting a specific brain region involved in pain processing can alter how pain is perceived and change how this area communicates with other parts of the brain’s pain network. The next stage of our research will be to test whether this approach can help people living with chronic pain.”

Hughes and colleagues used transcranial ultrasound stimulation (TUS), a low-intensity neuromodulation technique, to target the dorsal anterior cingulate cortex (dACC), a brain region implicated in chronic pain. The study recruited a total of 32 healthy volunteers, who were treated either with TUS or a sham while putting their right hand in a cold gel to trigger pain due to the low temperature. All participants were asked to rate the severity of the pain they were feeling and underwent MRI and MRS scans to monitor the physiological changes caused by the treatment. 

Results showed that, while TUS had no immediate effect on pain intensity, participants reported a significant reduction in pain from 28 to 55 minutes after the stimulation, suggesting it can trigger a delayed analgesic effect. At the physiological level, TUS was found to disrupt the relationship between temperature and pain intensity, increasing the connectivity between the dACC and other brain regions involved in pain modulation and changing the concentration of the GABA neurotransmitter within the dCC. 

“The study aimed to characterize how transcranial ultrasound stimulation interacts with—and potentially also alters—the brain’s processing of pain,” said Sophie Clarke, PhD, postdoctoral research fellow at the University of Plymouth and lead author of the study. “Understanding these mechanisms will be very important to support the next steps in understanding whether the stimulation can be effective in helping patients with chronic pain.”

Previous research at the University of Plymouth had shown the potential benefits of TUS for psychiatric conditions including anxiety, depression, and addiction. This study shows these benefits could extend beyond neurological disorders and one day offer a non-invasive treatment option for those experiencing chronic pain due to conditions such as fibromyalgia, back pain, and arthritis, or recovering after cancer treatment.  

“Having shown the use of ultrasound can yield positive results for people with a variety of neurological conditions, we wanted to explore what it could mean for those living with chronic pain,” said Elsa Fouragnan, PhD, director of the University of Plymouth’s Brain Research and Imaging Centre (BRIC) and Centre for Therapeutic Ultrasound (CENTUS). “Most of us know someone experiencing chronic pain, and there are very few treatments that deliver any form of long-term benefit. The findings of this new work are really promising, and we are already building on it to assess whether TUS could be a beneficial and non-invasive therapeutic treatment.”

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ASGCT President Terry Flotte Touts Rare Disease Initiatives as His Term Ends

President of the American Society of Gene and Cell Therapy (ASGCT), Terry Flotte, MD, is excited to host this year’s conference in his own backyard. It will be a short drive east on the Mass Turnpike from his office at UMass Chan Medical School in Worcester to the Menino Convention and Exhibition Center in Boston’s Seaport district. Flotte is hopeful that the 2026 conference will draw the largest attendance in the meeting’s history. His tenure as president ends this week on the last day of the conference, May 15.

In the run-up to this year’s conference, GEN spoke with Flotte, who is also Editor in Chief of GEN’s sister journal Human Gene Therapy, about the central themes and most anticipated sessions at this year’s conference. “I have a full dance card, let me tell you,” Flotte joked. The conference will highlight several themes of Flotte’s productive tenure.

 

(This interview has been edited for length and clarity.)

 

GEN: Terry, what’s the theme of this year’s ASGCT conference?

Terry Flotte: We’re working very hard on access for rare and ultra-rare conditions and have been for some time. You’ll see that in the presidential symposium. This is in the context of our mission to improve access to rare disease cell and gene therapy (CGT). This is the guiding principle of our strategic plan: we want to work for universal access to CGT. There are two orthogonal axes to this: I’m focusing on rare and ultra-rare diseases. ASGCT is going to continue to work in parallel on universal access in a more global context.

We have created a first-of-its-kind exchange for shelved CGTs. An increasing number of CGTs for rare and ultra-rare diseases are being discontinued or deprioritized after they reach the clinical stage—not because they lack clinical efficacy but because they lack market viability. We have partnered with Orphan Therapeutics Accelerator to create a new entity called CGTxchange. This collaborative venture is meeting the need of these promising clinical-stage CGTs that are not progressing. This entity will be an AI-enabled digital platform that will list the available clinical-stage CGT programs and generate AI-enhanced profiles, digest the data, score them for their level of advancement and the robustness of their responses, and essentially shorten the due diligence that investors normally have to do, enabling the connections to work faster.

I estimate there’s at least 50-100 of these programs. We had our own personal experience with Sio Gene Therapies [formerly Axovant] on both GM1 and GM2 gangliosidosis. This is part of a broader set of initiatives. Over the past few years, we created a taskforce in response to this increasing rate of discontinuation of these therapies. The two main outgrowths that the ASGCT board has endorsed are to create a consortium of CGT developers that might be able to offer non-profits less expensive manufacturing in a limited way but also work toward a drug master file sharing data for those who benefit from the less expensive vectors—in addition to the clearinghouse I just mentioned.

 

 

GEN: What else is new this year?

Flotte: A new thing for ASGCT is we’re having a patient advocate presenting. Terry Pirovolakis pioneered the CGT therapy for spastic paraplegia type 50 (SPG50) by developing his own company, Elpida Therapeutics, which has taken SPG50 to the clinic and now is doing that for other rare and ultra-rare diseases.

The second example is from Claire Booth, MBBS, PhD, (Great Ormond Street Children’s Hospital, London). Her team has received market authorization to be the

pseudo-commercial manufacturer of a fully licensed therapeutic for different forms of SCID.

Those are two direct examples of alternatives to get things to the clinic, other than getting a new commercial sponsor. [Hopefully] we can end up getting more of those picked up, whether through the CGTxchange or direct outreach. We’re also going to honor Timothy Yu, MD, PhD, with the Jerry Mendell Translational Research Award. He will be talking about the N=1 Collaborative with the parallel effort with oligonucleotide therapeutics. There is a purposeful theme to this meeting, aiming to make a big change in how things can get to the clinic and stay in the clinic.

 

GEN: Last year in New Orleans, the conference was dominated by the Baby KJ story. Will anything stand out in the same way this year?

Flotte: We are honoring the three primary authors of the Baby KJ story—Kiran Musunuru, MD, PhD, Rebecca Ahrens-Niklas, MD, PhD, and Fyodor Urnov, PhD.

I have also selected the work of Lindsey George, MD (Children’s Hospital of Philadelphia) as a presidential abstract. She is going to present the first case of an AAV-induced tumor—or at least an aggressive and autonomously growing malignancy…. This occurred in an MPS1 patient who received a high dose of AAV into the ventricles. It is not exactly a meningioma, but it’s arising from the neuroepithelial cells lining the ventricles. The tumor has AAV integrated with a strong promoter immediately upstream of a known oncogene. I put that into the presidential lecture, even though it’s not good news—but I’m not a [gene therapy] campaign manager here! I think this is a significant finding that we’ll have to pay attention to.

Lindsey is not saying that nobody should ever do this again. She’s going to point out aspects of this that were very manageable and how this patient overall has a dramatically better outcome than they would have without the therapy. In a way, [this is] somewhat like when those leukemia cases developed in Europe in the early SCID [gene therapy] trials. It is in a way parallel to that.

 

GEN: This will be your last conference as president of ASGCT!

Flotte: Yes, it ends on May 15th! We only get to be president for one year. I started the Rare Disease Task Force as vice president. This was my cause over the past three years [as an officer]. I’m very pleased we were able to stand this up.

We have an actual corporation, a joint venture, 50% owned by ASGCT. We set up this manufacturing consortium. Somewhat related, we set up our own charitable foundation, the ASGCT Foundation. We will have our first event—a gala at the conference. It will have a lot of time to grow. The foundation has just been incorporated as a subsidiary not-for-profit.

 

GEN: How do you view things at FDA currently?

Flotte: We will have a fireside chat with the new director of CBER, Katherine Szarama, PhD. We are very encouraged—she’s a very highly trained professional. We love that FDA is paying a lot of attention to rare diseases, but we need some scientific and evidence-based guidelines on how to do this consistently. We’re looking to someone who has regulatory experience.

 

GEN: What else has got you and your colleagues in the gene therapy space excited of late?

Flotte: I’m hoping we’re going to better understand high-dose AAV toxicity… I think what we’ve got is several different syndromes, but many of them may have a common link… We’ve been seeing with high-dose AAV a very broad distribution, but the doses are incredibly high and there have been deaths—the DMD patient deaths that occurred in the first two weeks are the best-known examples, but there have been other ones.

In my lab, we’re trying to figure out the primary pathogenesis. We have found a number of situations with unexpected vector expression in the endothelial cells and then seeing vascular leakage into some of these tissues causing tissue injury. So, in the post-mortem analysis we helped on, we saw high expression in the lungs and alveolar capillaries. They had diffuse leakage into the capillaries leading to a syndrome known as acute respiratory distress syndrome (ARDS). But in some of the others where they’re seeing some complement activation, we think that small vessel injury could be a convergent pathway. Now, where does this come into play in the broader sense?

One of the holy grails of recent AAV gene therapy is to design an AAV capsule that efficiently crosses the blood-brain barrier. Many diseases that are appropriate for AAV are diseases of the central nervous system (CNS). You can think of, for instance, the easiest cells to access in the CNS are the spinal motor neurons, hence the SMA1 treatment, Zolgensma. So, if you treat an SMA newborn, that is essentially solved or at least adequately solved. But in none of the diseases that affect the brain have we seen an IV gene therapy that is robustly efficacious—just giving an AAV at a high enough dose to get across the blood-brain barrier. Many different companies are trying to develop AAV capsids that will penetrate the blood-brain barrier, the first one that got to clinic was a vector designed by Capsida Biotherapeutics. But the first patient treated on the Capsida trial developed cerebral edema and died.

One of the important challenges for the field is to understand if we can separate a blood-brain barrier penetration from endothelial cell toxicity, because you could think perhaps a vector designed to get through the blood-brain barrier could cause injury as it crosses to the endothelial cells in the brain. I think there may be ways around this, but to me this is a central issue because the CNS is affected in so many single-gene disorders. The parents see a child who has a disability or degenerating, as in Tay-Sachs, and they want to be able to do an IV therapy. They don’t want to have to have a direct brain injection or some other invasive intervention. So that’s what I’m looking for at ASGCT 2026.

 

 

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Synthesizing a Natural Sunscreen and Antioxidant in E. coli

Researchers at Jiangnan University have engineered microbial “cell factories” to sustainably produce the UV-protective compound gadusol, a compound that could eventually serve as a sunscreen ingredient and an antioxidant additive.

Found in the eggs of various fish and other marine organisms, gadusol helps protect against ultraviolet damage. However, “it is scarce in nature, and extracting it is inefficient and can carry environmental costs,” said research lead Ping Zhang, PhD. “We want to find a scalable and greener way to produce gadusol.” Previous efforts to acquire gadusol have relied mainly on extraction from fish eggs or tissues at specific developmental timepoints. For their reported study, rather than harvest the molecule from nature, the team turned microbes into mini chemical factories, increasing yield more than 90 times.

The researchers reported on their developments in Trends in Biotechnology, in a paper titled “Multidimensionally engineered Escherichia coli for efficient gadusol biosynthesis with high-throughput quantitative analysis, in which concluded “This work provides valuable insights into gadusol biosynthesis and establishes a solid basis for future investigations into the feasibility of its industrial applications.”

How do fish survive sunlight in the open waters without getting burned? They make their own natural sunscreen. Gadusol is “a naturally occurring cyclohexenone compound that has attracted significant attention due to its potent UV-absorbing properties and broad biological functionalities,” the authors wrote. “Gadusol, as a cyclohexenone compound with potent antioxidant and biological properties, has shown significant potential for applications in pharmaceuticals, cosmetics, and nutraceuticals.”

The compound has been identified in the eggs of various fish species, including zebrafish, salmon, and sturgeon, as well as in coral reef ecosystems, where it shields marine embryos and coral from UV radiation. Moreover, the researchers explained, “Beyond its photoprotective role, gadusol also demonstrates pronounced antioxidant activity, with extracts from fish eggs exhibiting free radical scavenging capacity comparable to that of ascorbic acid under physiological pH and even superior chain-breaking activity against peroxyl radicals.”

However, the team pointed out, extracting gadusol from fish eggs is labor intensive and costly, and results in low yields.  For their newly reported study the team rebuilt a zebrafish’s pathway for making gadusol inside the bacterium Escherichia coli, then tweaked the microbes’ genetics and growing conditions. “In this study, we constructed the gadusol biosynthetic pathway in E. coli and established an integrated engineering strategy to enable its efficient production,” they noted.

These modifications increased gadusol yield by nearly 93 times, from 45.2 milligrams per liter to 4.2 grams per liter. The compound’s antioxidant property inspired a useful shortcut, in the form of a color-based screening test. In the test, a purple chemical signal turns yellow when gadusol neutralizes free radicals. This color shift allows researchers to quickly identify bacterial strains that produce more of the compound. “Compared with traditional chemical analysis, this approach is more convenient, efficient, and economical,” said senior author Ruirui Xu,” PhD.  “In addition, an efficient downstream process for gadusol extraction and purification was established, strengthening the translational potential of this platform,” the authors noted.

Producing gadusol through a microbial cell factory for sun protection. [Science Center for Future Foods, Jiangnan University]
Producing gadusol through a microbial cell factory for sun protection. [Science Center for Future Foods, Jiangnan University]

The lab-made compound showed promise in preliminary UV-protection tests. “Achieving this level of production in the lab is very promising,” says Zhang. “It suggests that we may be able to meet future demand for natural sunscreen ingredients through microbial production.” The compound may offer more than just sun protection. In experiments, gadusol showed antioxidant activity comparable to that of vitamin C, suggesting it may help neutralize cell-damaging free radicals from UV exposure.

In their paper the authors suggested that “Beyond laboratory-scale optimization, this work demonstrates a practical and scalable route for manufacturing gadusol, a natural, nontoxic UV-protective, and antioxidant cyclohexenone.” The research comes amid growing interest in alternatives to some conventional sunscreen ingredients, which can irritate sensitive skin, harm marine organisms, or rely on petrochemicals. Gadusol’s combination of UV protection and antioxidant activity could make it an attractive ingredient for sunscreens and skin-care products. The team in addition pointed out, “By enabling sustainable microbial production independent of marine extraction, this strategy provides a renewable alternative to synthetic UV filters and antioxidants that may raise environmental or health concerns.”

But gadusol won’t make it into our beach bags just yet. The study did not compare gadusol head-to-head with commercial sunscreens, nor assess long-term safety or large-scale manufacturing. Regulatory approval would also be needed. Still, Xu believes that the research provides a starting point for moving gadusol toward practical applications. Based on current technology, he expects to start seeing some products appear on the market within two years.

“For small molecules with application potential, we hope people look beyond traditional extraction methods,” Zhang commented. “Microbial cell factories are emerging as a greener and more sustainable way to bring laboratory discoveries into real-world use.”

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Officials say $1.3 billion in Medicaid money to California will be deferred over suspicions of fraud

WASHINGTON — Vice President JD Vance on Wednesday announced new steps in the Trump administration’s initiative to root out fraud in federal health programs, including a $1.3 billion deferral in Medicaid reimbursements to California.

“These fraudulent health care providers are getting rich by giving people medications they don’t even need,” Vance said during an event at the White House, adding that taxpayers and program beneficiaries are victimized by such fraud.

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TNBC Ecotypes Reveal Molecular Signatures Tied to Chemotherapy Response

Researchers at The University of Texas MD Anderson Cancer Center have identified immune cell and tumor-specific features in triple-negative breast cancer (TNBC) that may help predict which patients are most likely to respond to chemotherapy before treatment begins, according to a study published in Nature. Using single-cell and spatial transcriptomic analyses of pretreatment tumor samples, the team identified specific macrophage subtypes and cancer-cell gene expression programs associated with response to neoadjuvant chemotherapy (NAC). The team also developed a 13-gene panel and a machine learning model that could help classify tumors according to their likelihood of responding to chemotherapy.

“This study provides novel insights into the gene-expression programs and the different cell states of the tumor microenvironment in patients with triple-negative breast cancer,” said Nicholas Navin, PhD, chair of systems biology at MD Anderson. “Importantly, we’ve identified certain programs and macrophage subtypes that are associated with good responses to neoadjuvant chemotherapy, which has tremendous potential to improve patient outcomes.”

TNBC accounts for between 10% and 20% of breast cancer cases. Because it lacks estrogen, progesterone, and HER2 receptors, treatment options are limited, resulting in a higher rate of recurrence compared with other form of breast cancer. Chemotherapy is the main treatment approach, particularly in early-stage disease, where neoadjuvant chemotherapy can achieve pathological complete response in 40% to 50% of patients. However, treatment outcomes vary widely from patient to patient, and researchers have been looking for ways that can better predict response before therapy begins.

For this study, the researchers analyzed pretreatment core biopsy samples from treatment-naive patients with early-stage TNBC. They performed single-cell RNA sequencing on 427,857 cells collected from 101 patients and spatial transcriptomic profiling on tumors from 44 patients. The findings also were compared with normal breast tissue data from the Human Breast Cell Atlas.

Based on their testing the researchers classified TNBC tumors into four patient-level “archetypes” based on cancer-cell gene expression patterns. They also identified 13 metaprograms that reflected heterogeneity within tumors at the single-cell level.

The tumor microenvironment consisted of 49 immune and stromal cell states organized into eight cellular communities, or ecotypes, defined by the co-occurrence of cancer cells and surrounding immune cell populations. Researchers found these cellular neighborhoods were associated both with tumor archetypes and chemotherapy response.

The study homed in on macrophages, a type of immune cell that has received less attention in TNBC research than T cells. The investigators said that seven of eight macrophage cell states were significantly associated with treatment response, while none of the 14 T-cell and natural killer-cell states showed significant associations with NAC response.

Macrophage subtypes linked to interferon signaling and complement activity, identified as Mac-IFN and Mac-lip-C1Q, were more abundant in patients who achieved pathological complete response. By comparison, two macrophages associated with angiogenesis and extracellular matrix remodeling, called Mac-angio and Mac-ECM, were enriched in patients with residual disease after chemotherapy.

The team also found that tumors linked to good response to NAC showed increased interferon signaling and elevated expression of human leukocyte antigen class II genes. Researchers said these findings indicate that cancer cells themselves may actively participate in modulating immune signaling related to chemotherapy response.

As part of their work, the researchers developed a 13-gene transcriptional signature panel developed from the single-cell analyses that can be used as a predictive model for chemotherapy response. Researchers said the model’s predictions correlated with chemotherapy response and overall survival across multiple public TNBC cohorts.

These new findings have the potential to influence how patients with TNBC are treated in the future by helping clinicians identify which patients are more likely to benefit from standard chemotherapy and which patients may need alternative therapeutic strategies earlier.

In addition, “these findings suggest that targeting specific macrophage subtypes could potentially provide new therapeutic opportunities in TNBC,” the researchers wrote.

The MD Anderson team noted that the study is one of the first large-scale single-cell genomic studies of TNBC integrating cancer cells, immune cells and treatment-response data. Earlier research exploring tumor heterogeneity has often lacked therapy response information, focused only on cancer cells or immune cells separately, or included relatively small patient cohorts.

Whether single-cell RNA seq could eventually become a basis for predictive diagnostics remains an open question. Today, the method is still expensive and technically challenging, two hindrances to it wider adoption. The researchers noted, however, that advances in sample multiplexing and other methods compatible with formalin-fixed paraffin-embedded tissue could make it feasible in the future.

Clinton Yam, MD, an associate professor of breast medical oncology at MD Anderson, said the findings could support more individualized approaches to TNBC care.

“These insights provide an important foundation for improving our understanding of why different TNBC tumors respond differently to chemotherapy, and the findings have strong potential to inform future strategies aimed at better predicting treatment response and guiding more individualized care for patients with triple-negative breast cancer.”

Future research will focus on validating the predictive models in prospective patient cohorts and evaluating TNBC treated with chemo-immunotherapy, which has become the standard of care when TNBC is detected early. The researchers also plan to study longitudinal tumor samples collected before, during, and after treatment to better understand how cancer cells and the tumor microenvironment evolve over time and how those changes relate to chemotherapy response and survival.

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Opinion: The hantavirus is a wake-up call. Will the Trump administration answer it?

Arriving in the isolation ward of a biocontainment hospital is an unsettling, scary experience. In 2014, I spent 19 days in one while being treated for Ebola, watching the news cycle churn around me as my world receded to a small window, a phone, and the handful of providers in protective suits who came into my room every day.

More than a dozen Americans are living some version of that right now in a Nebraska quarantine facility — passengers from the MV Hondius, the cruise ship that is at the center of a small but instructive outbreak of Andes hantavirus.

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CSF Platform Enables Near Real-Time Monitoring of Multiple Biomarkers

Scientists have developed a sensor platform that can monitor cerebrospinal fluid (CSF) in intensive care unit patients, overcoming major delays in diagnosis associated with current testing methods. A study published today in Science Translational Medicine reports that the NeuroSense platform can provide near real-time readings of four key biomarkers every 27 minutes, with results accurately reflecting standard clinical measurements. 

In neurological intensive care units, external ventricular drainage (EVD) systems are routinely used to temporarily assist patients with drainage of excess CSF, manage postoperative complications and monitor intracranial pressure. However, the use of these devices carries a high infection risk, with rates reaching up to 20% of patients. 

Delayed diagnosis of these infections can lead to severe meningitis, neural damage, cognitive impairment, permanent disability, or even death. However, current testing methods are labor-intensive and require sending samples to external laboratories for biomarker analysis and manual inspection. This limits testing to every one to two days, significantly delaying clinical decisions that can be critical for preventing severe complications. 

“To address these limitations, we developed NeuroSense, a multiplexed sensing platform that integrates with standard external ventricular drainage systems to enable near real-time monitoring of key CSF biomarkers, including glucose, lactate, pH, and flow rate, that are essential for detecting infection and drain dysfunction,” write the study authors. 

The NeuroSense platform employs aptamer-based biosensors to detect glucose and lactate levels in CSF, which are key markers of bacterial infections. These types of biosensors are more stable and have a longer shelf life than conventional enzymatic biosensors, ensuring the platform can consistently and accurately track these markers for the entire time EVD systems remain in place, typically between five to 10 days. 

Furthermore, an impedance-based sensor measures CSF flow rate to monitor for potential catheter obstructions or incorrect EVD settings, while a polydopamine sensor keeps track of pH changes, which can indicate acidosis, hemorrhage, infection, or a disrupted blood-brain barrier.

The platform’s performance was evaluated in a small-scale study that recruited six patients with EVDs hospitalized in the intensive care unit. Every four hours, readings from the NeuroSense platform were compared with those from standard testing methods, revealing a strong correlation between the sensor platform and clinical reference measurements.

A survey of the healthcare providers and clinicians involved in the study further showed that most participants found the platform easy to use, as it integrates with standard EVD systems routinely used in the intensive care setting.

Going forward, the researchers plan on further improving the performance of the pH sensor and continue developing the platform to comply with regulatory requirements for running large-scale clinical studies and eventually making the platform available to healthcare providers. 

“Beyond infection detection and EVD assessment, NeuroSense enables higher temporal-resolution tracking of CSF biomarkers and flow dynamics, supporting earlier recognition of evolving trends that may be missed with intermittent sampling,” write the researchers. “Although the current system measures glucose, lactate, pH, and flow, the platform is modular and can accommodate additional sensors in future iterations. By providing near-bedside, actionable insights into patients’ neurological health, NeuroSense has strong potential to enhance clinical decision-making and improve patient care.”

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Automatic Speech Recognition and Large Language Models for Multilingual Pathology Report Generation: Proof-of-Concept Study

Background: Accurate transcription of pathology gross examination dictation is important for clinical documentation, but multilingual dictation remains challenging in settings where clinicians mix Chinese and English while final pathology reports are written in English. Objective: This study aimed to evaluate whether a Whisper-based automatic speech recognition (ASR) pipeline guided by contextual system messages and combined with open-source large language models (LLMs; Qwen2:72b, Llama3.1:70b, Gemma2:27b) could improve multilingual (Chinese-English) pathology dictation transcription accuracy and generate clinically appropriate English gross description reports. Methods: We conducted a controlled proof-of-concept study using 125 simulated mixed Chinese-English pathology gross examination audio recordings created by physicians or pathologists. Audio recordings were transcribed using Whisper ASR with and without a contextual system message. The ASR transcripts were then converted into English gross description reports using 3 open-source LLMs: Qwen2:72b, Llama3.1:70b, and Gemma2:27b. Outcomes included character error rate, Bilingual Evaluation Understudy, Recall-Oriented Understudy for Gisting Evaluation (ROUGE)-1, ROUGE-2, ROUGE-L, Metric for Evaluation of Translation with Explicit Ordering, pathologist Win-Tie-Lose rankings, report-level error categories, inference time, and interrater agreement. Results: The ASR contextual system message reduced the mean character error rate from 0.344 (SD 0.176; 95% CI 0.313‐0.375) to 0.066 (SD 0.100; 95% CI 0.048‐0.084; <.001). Qwen2:72b achieved the highest automated metric scores, including a Bilingual Evaluation Understudy of 0.644 (SD 0.307), ROUGE-1 of 0.866 (SD 0.163), ROUGE-2 of 0.771 (SD 0.235), ROUGE-L of 0.842 (SD 0.178), and Metric for Evaluation of Translation with Explicit Ordering of 0.805 (SD 0.214). Pathologist-coded total error rates were 16.8% (21/125) for Qwen2:72b, 45.6% (57/125) for Llama3.1:70b, and 92.8% (116/125) for Gemma2:27b. The exact agreement between the 2 pathologists across full ranking categories was 76.8% (96/125; Cohen κ=0.668), and agreement on the top-ranked model or tied top group was 81.6% (102/125; Cohen κ=0.722). Conclusions: In this proof-of-concept evaluation, contextual prompting improved ASR transcription accuracy, and Qwen2:72b generated the most accurate English pathology reports among the evaluated LLMs. However, the study used simulated audio recordings, a local vocabulary prompt, and report-level rather than term-level clinical annotation. LLM-generated reports should therefore be considered draft documentation requiring pathologist verification, and prospective validation in real clinical workflows is needed before clinical deployment.

ApexGO: AI-Driven Approach to Faster Antibiotic Discovery

Antibiotic resistance is on the rise around the world, creating an urgent need for faster and more dependable approaches to design antimicrobial candidates. While AI-driven methods have accelerated antimicrobial discovery, most have focused on screening fixed libraries or generating broad candidate sets.

Now, researchers at the University of Pennsylvania have developed ApexGO—a novel, AI-powered method that starts with a small number of candidates and improves them, using a predictive algorithm to evaluate each modification and guide the next.

“Antibiotic discovery is fundamentally a search problem across an enormous molecular space. ApexGO gives us a way to navigate that space with far more direction,” says César de la Fuente, PhD, presidential associate professor in the School of Engineering and Applied Science at UPenn.

This work is published Nature Machine Intelligence in the paper, “A generative artificial intelligence approach for peptide antibiotic optimization.”

“What is striking is that ApexGO’s predictions held up in the real world,” says Jacob R. Gardner, PhD, assistant professor in computer and information science (CIS) at UPenn. “ApexGO was optimizing against another computer model, so one concern was that it might find molecules that looked good to the model but failed in the lab. Instead, the majority of the molecules it designed actually worked.”

indeed, 85% of the AI-generated molecules halted bacterial growth, while 72% outperformed the peptides from which they were derived. In mice, two antimicrobial peptides created by ApexGO reduced bacterial counts at levels comparable to the antibiotic polymyxin B.

“This result points toward a future in which we can optimize molecules for a desired function in a fraction of the time,” adds de la Fuente, “using machines to guide discovery through chemical spaces too vast for humans to explore by trial and error.”

For years, the de la Fuente lab has looked for antibiotic candidates in unlikely places, from frog secretions to ancient microbes. Two years ago, the group released APEX, an AI model that predicts whether or not a given peptide is likely to have antimicrobial properties.

“APEX helped us find promising antibiotic candidates in enormous biological datasets,” says Marcelo Torres, PhD, research assistant professor of psychiatry in the Perelman School of Medicine. “ApexGO takes the next step: once we have a promising molecule, it helps us ask how to make it better.”

One part of ApexGO (short for APEX Generative Optimization) suggests molecular tweaks, while the previously published APEX model predicts whether those changes are likely to increase antimicrobial activity. ApexGO then uses those predictions to guide the next round of proposed edits.

While some of the molecules proposed by ApexGO showed promising antibiotic activity, the researchers emphasize that even the best-performing peptides are still early-stage candidates. Before any could be used to treat infections in humans, they would need to be further optimized for safety, stability, and how long they remain active in the body.

Still, the study suggests that AI can help researchers decide which molecules are worth making and testing in the first place. For de la Fuente, the approach could eventually extend beyond antibiotics. “In this case, we wanted to optimize peptides for antimicrobial activity,” he says. “But you could imagine applying the same idea to peptides with other biological functions, like modulating the immune system or targeting tumors.”

“ApexGO shows that AI can do more than predict which molecules might work: it can help us improve them,” adds de la Fuente. “At a time when antibiotic resistance is rising worldwide, we need technologies that help us move faster from an idea to a real therapeutic candidate. ApexGO is an important step toward that future.”

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