A Digital Inclusion Intervention to Improve Access to a Digital Health Intervention Among Digitally Excluded Adults: Mixed Methods Pilot Randomized Controlled Trial

Background: The National Health Service 10-year health plan emphasizes an increasing shift toward digital health care delivery. However, there is limited research on how best to support, engage, and include individuals who are digitally excluded. As health care services become more digitally driven, evidence-based interventions are needed to address digital exclusion and ensure equitable access to care, particularly for people living with long-term conditions. Objective: This study aimed to evaluate the feasibility and acceptability of providing digital literacy training alongside a digital health intervention (DHI; Ex-Tab intervention), compared with providing a DHI alone. Kidney Beam, a DHI designed to promote physical activity and improve quality of life in people with chronic kidney disease (CKD), was used as an exemplar DHI. Methods: This mixed methods, single-site pilot randomized controlled trial recruited 40 adults with CKD who were digitally excluded. Digital exclusion was defined as lacking access to a Wi-Fi–enabled digital device or having a Digital Health Care Literacy Scale (DHLS) score of <7 (range 0‐21). Participants were randomized 1:1 to receive either the Kidney Beam Ex-Tab intervention or Kidney Beam alone (control). The intervention group received a Wi-Fi–enabled iPad on loan with Kidney Beam preinstalled, digital literacy training, and ongoing support to access the 12-week Kidney Beam program (twice weekly live exercise and education sessions). The control group received sign-up instructions for Kidney Beam only. Feasibility outcomes were assessed against a priori progression criteria and included screening, recruitment, retention, adherence, safety, and acceptability. Secondary outcomes included the Kidney Disease Quality of Life Questionnaire, Chalder Fatigue Questionnaire, and Patient Health Questionnaire-4. Outcomes were measured at baseline and 12 weeks. Acceptability and user experience were explored through semistructured interviews with participants from both groups at 12 weeks (n=25). Results: Between September 2023 and September 2024, a total of 169 individuals were screened and 40 were enrolled (median age 66.5 years; 20 male individuals; median DHLS score: 4). Twenty-one participants were randomized to the Kidney Beam Ex-Tab group and 19 to the Kidney Beam alone group. Of the 40 participants, 35 (88%) completed the 12-week follow-up (intervention: n=18; control: n=17). All prespecified feasibility criteria for recruitment, retention, adherence, and safety were met. Qualitative findings indicated that the tablet loan and digital literacy training were acceptable and highly valued, enhancing confidence, motivation, and DHI engagement. Providing loaned devices was particularly important for overcoming access barriers, especially for participants unable to afford their own device. Conclusions: Providing Wi-Fi–enabled devices and digital literacy training alongside a DHI was feasible and acceptable for people with lower digital literacy levels. The findings support progression to a future definitive multicenter trial or implementation study and offer transferable insights for the design of digital inclusion strategies for other long-term health conditions. Trial Registration: ClinicalTrials.gov NCT04872933; https://clinicaltrials.gov/study/NCT04872933

Feasibility and Acceptability of an eHealth-Based Physical Activity Coaching Intervention During Pulmonary Rehabilitation for People With Chronic Obstructive Pulmonary Disease: Mixed Methods Study

Background: Physical inactivity is a modifiable and significant trait in people with chronic obstructive pulmonary disease (COPD). While traditional exercise-based pulmonary rehabilitation (PR) improves symptoms and exercise tolerance, its impact on physical activity (PA) levels remains limited. Digital health (eHealth) interventions may help address this gap. Objective: This study aimed to assess the feasibility and acceptability of integrating an eHealth PA coaching intervention into PR for people with COPD. Methods: Patients enrolled in an outpatient PR program were recruited for a 3-week PA coaching intervention, which used a smart band connected to a mobile patient app and a web application for health care professionals (HCPs). The intervention included PA monitoring (steps per day); weekly goal setting; and app notifications for goal updates, achievement, and motivational messages. Weekly telephone calls supported goal adjustment and identification of PA barriers. The acceptability of the intervention was explored through a patient focus group. Results: Five patients with COPD (mean 67, SD 9 years; n=4, 80% female; mean predicted forced expiratory volume at 1 second of 49%, SD 23%) participated with 100% retention and adherence to the intervention (daily synchronization). No adverse events or PA barriers were identified. One patient reported an app connection issue that was resolved by restarting the app. Patients found the app easy to use and helpful for their PA awareness and remote monitoring by HCPs. Weekly goal adjustments and contact with an HCP were valued. Limitations regarding the app use included a lack of personalization, goal setting restricted to steps, and occasional step miscounts. Conclusions: The intervention was feasible and well accepted. Future studies with a larger sample are needed to assess the impact of the intervention on PA outcomes.
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AACR 2026 Chairs Identify Themes and Highlights from the Conference

The American Association for Cancer Research (AACR) Annual Meeting kicks off this weekend in San Diego. A whirlwind of sessions, keynotes, fireside chats, posters, and exhibitors, the meeting is THE annual event for the cancer community.

Before the conference, GEN spoke with AACR program chairs Paul S. Mischel, MD, Professor and Vice Chair for Research for the Department of Pathology at Stanford Medicine of Stanford University and Alice T. Shaw, MD, PhD, Chair of the Department of Medical Oncology and the Chief of Strategic Partnerships at Dana-Farber. In this interview, they share their perspectives on the event, what attendees should be looking out for, and what they, personally, are most looking forward to.

This interview has been edited for length and clarity.

 

GEN: What did you feel were some of the most important themes to include in the conference program?

Shaw: First of all, it’s been such an honor for me to work with Paul as well as our president, Lillian Siu, MD. We had an expert program committee and incredible staff at AACR who all helped shape the program.

This year’s annual meeting feels more meaningful than ever, because of everything going on in the world, including funding challenges, challenging geopolitics, and everything else. It has felt even more important that we have this time to bring together our global community of cancer researchers and investigators.

When Paul and I met last summer, we felt strongly that this meeting was not just about designing an incredibly strong scientific program to showcase the science and all of the innovation, but we wanted to make a point to demonstrate to the audience, and the world, the tangible benefits of scientific research to patients with cancer, and to highlight how all the research we do is done with an eye toward improving the lives of patients with cancer.

We intentionally planned a scientific program with patients and patient impact front and center and have tried to incorporate the patient perspective and even patient voices in some sessions—to emphasize that science drives impact for patients.

Mischel: When we started about a year ago, our conviction—that there probably has never been a more important year for an AACR meeting—grew over the year. This organization is a beacon of light at a time in which there’s been extraordinary progress in cancer, and [there is] the potential to really make a difference in patients’ lives at the face of some very major headwinds. What we’re seeing is a level of enthusiasm and engagement in coming together in the community that’s saying: we won’t be stopped in making a difference for patients with cancer. And there were a number of themes that were central to this meeting.

For example, precision—that you can use information about patients to identify what’s gone wrong and how to develop therapies based upon deep molecular knowledge. Partnership—The growing recognition of how we work together to make a difference for patients. It’s not a winner-take-all strategy. It’s not a race to the top for individuals. It’s a race to the top for people with cancer. And we do it effectively by joining hands to make a difference for patients. And global work—another major theme that we’re really talking about this year, because together we can make a real difference for people with cancer.

We work together with people that span an enormous range of disciplines and expertise. A number of themes came front and center during the year. The technologies to interrogate what’s happening in human beings, whether it’s in their tissue, their blood, or their images—it’s nothing short of breathtaking. The ability to either forestall cancer by detecting if it’s going to happen, or catch it early, or monitor our most effective treatments is really changing the game. New modalities for developing treatments. We’ve heard a lot about harnessing the immune system and about the development of small molecules. There’s all kinds of new chemistry, molecular glues and degraders that are leading the way. And they’re tied to deep investigations into the fundamental biology.

AI is changing the game as well. We are very excited that we’ve brought together perhaps the most interesting AI sessions that you can imagine, that talk about all of the ways that AI can be used—not like an oracle but actually in partnership with helping make a difference for patients, whether it be in the diagnostics or the development of therapeutics. AI is only beginning to be tapped to help us think about how to integrate knowledge across all of these domains. And it goes beyond that because it’s not only about the molecular composition of a person’s tumor, it’s about a human being, what they eat, where they live, what they do, and various other social determinants of health that might increase risks of cancer. A lot of attention is paid in the meeting to that aspect of it as well. So, I think we’re in for an incredibly interesting meeting.

Shaw: One of the themes that came right out from everyone on the program committee was how important it was to highlight AI; I think everyone believes that AI is going to be transformative and it’s going to impact all aspects of cancer research and clinical care in the coming years. We had a number of AI experts on our program committee. They really helped embed AI topics throughout the scientific and also the educational program.

In fact, when Paul and I were planning the opening plenary session, we really wanted one of the opening plenary speakers to be able to speak on AI. So, we have Regina Barzilay, PhD, from MIT, who’s going to speak on her work in the AI space, both in terms of drug discovery and all the way out to clinical applications. We also have an AI-focused plenary session all unto itself as well, to drive home the importance of AI tools and technologies. It is incredible how AI is already being used in terms of foundational discovery and in terms of real-world, clinical data mining and implementation. And Paul already mentioned genomics, precision medicine, biomarker discovery, histopathology, radiology, all of which are already being impacted by AI.

Mischel: One of the things that is perhaps most stunning is this idea that you might be able to prevent cancer. We already see real world examples of that with things like HPV vaccines. The work is advancing so quickly that it might be possible to build vaccines against [something] that might prevent people who are at high risk of developing cancer from getting those cancers. Our colleague and AACR President Lillian Siu, MD, has a presidential symposium focused on that. What I hope that we’re getting across is the real scale and power of the work that’s being presented and the way that it crosses so many disciplines at this meeting.

Shaw: We are going to have a large focus, as we usually do, on molecularly targeted therapies. We have several sessions on the basic research side, but also in the clinical trial sessions around targeting RAS. RAS, of course, is the most commonly mutated oncogene in human cancer and has been undruggable for decades.

In the last five to 10 years, we now finally have small molecule therapies that can target different RAS mutations. In fact, you may have just heard the news about a new RAS inhibitor, daraxonrasib from Revolution Medicines, and pivotal Phase III trial data in previously treated pancreatic cancer. This was an incredibly positive study, doubling overall survival. Not even knowing those results, though, we already had planned quite a lot around RAS.

In that context of precision therapies, I also want to mention that I’m excited about one of our discovery science plenaries on Saturday that is going to focus on minimal residual disease (MRD) in solid tumors. Here the question is, if we have such incredibly effective targeted therapies for oncogene-driven cancers like RAS, EGFR, and ALK, why aren’t we curing more patients who have these types of cancers? We believe that a lot of the reason is because we can’t eliminate every cancer cell. And if we could just understand what allows those residual cells to survive, perhaps we could eradicate those and then be on the road to curing patients who have advanced disease. So, this whole plenary will focus on the science around MRD and how that then leads to clinical applications as well.

Mischel: Fundamental science is deeply central to this process. We frame a lot of things in terms of what it means for patients’ lives. I think an important part of this meeting is also integrating how those discoveries really flow from the work in fundamental science. For example, in the opening plenary, we’re going to be hearing about how tumors change their stripes effectively to become resistant to treatments, the lineage plasticity, this idea that they adopt new states to become resistant. And then what can you do about it?

When people used to be diagnosed with terminal cancer, it meant that they were going to die soon, and now people can be diagnosed with terminal cancer and live for years. That’s stunning. And that is happening because of cancer research and the integration of cancer research all the way from the most mechanistic to the most applied. One of the deepest themes of this meeting comes into this concept of partnership, that we highlight the critical nature of each component and the integration of those components, all the way from fundamental discovery to translation to patients.

 

GEN: What are some of the biggest scientific challenges you’re seeing right now in cancer biology that you think people will be discussing at the meeting?

Mischel: Cancer is hard because it is evolution on steroids. The mechanism that I study—extrachromosomal DNA, the ability of cancer cells and tumors to change quickly to resist treatment—is all about that. And it comes from us; it’s our cells that have gone bad. We have to find ways to show how they’re different and target those differences. We’re getting better at it through our understanding of science.

Shaw:  I am someone who sits between basic research and the clinic, so I do a lot of translational research. What the AACR meeting does well is gets at this key challenge around how we translate basic discoveries into the clinic. We all just want better cancer therapies for our patients. There are many aspects that really make the translation of discoveries difficult, and these will come out in various forms at the meeting. We’ve been talking about how hard it is to understand the biology, and to identify and validate new targets for drug discovery, for cancer treatments in the future.

I have spent some time on the industry side, so I also recognize how challenging it is, even when you have what you think is a perfect target, to drug that target. At the annual meeting, we’re going to talk a lot about different modalities, ways of thinking about going after what we believe are important targets, be it a small molecule or maybe it’s a new degrader or maybe it’s some other very complicated biologic.

I want to emphasize that to use or to identify the optimal modality requires that we understand the biology and the science behind it. The other challenge that I’ve seen in the translational space is around identifying which patients are going to benefit from a new therapy. A good example of where we’ve seen struggles is immunotherapy and identifying novel immunotherapy combinations and which ones have robust activity. But we can’t tell exactly which patients are deriving that benefit. Oftentimes with no biomarker to guide us, we can’t move forward with what could be a promising combination. At the annual meeting, we try to highlight a lot of these correlative or translational biomarker studies from early phase clinical trials.

The last thing I’ll mention is around how we use preclinical models most effectively to predict what’s going to be a promising new therapy. Often, these models are just models; they’re simpler than human cancers. They can’t recapitulate the complexity of human biology, and they can lead us the wrong way. For example, to overestimate how effective a therapy may be. Fine-tuning our models and making them as predictive as possible is a key challenge.

Mischel: Data seems to suggest that very often you might need to combine agents to make differences for patients. And that of course makes enormous sense from a biological standpoint, but it’s much harder to do when you start thinking about how you design the trials to do that. It’s a slow process. And so, there is increasing recognition of the need to figure out how to combine agents and hopefully ways to figure out how practically to begin to test them more effectively and in a more cost-effective fashion.

 

GEN: What have been some of the biggest advances since the last meeting?

Mischel: I just keep coming back to RAS because it’s such a big deal. An undruggable target that we’re now seeing a huge change in. It’s a huge deal.

Shaw: I would agree with that. And it’s not simply the RAS inhibitor itself. Many of us believe that that is just the start of how we most effectively treat RAS-driven cancers. We need the best RAS inhibitor to serve as an anchor and then we will build these combinations around that which will hopefully be even more effective and allow us to maximally cytoreduce or debulk cancers and then allow us to take in other even higher order combinations.

We have sessions this year all around RAS-mutant cancers. We have a designated session just focused on pancreatic cancer biology, because understanding that biology well is going to be critical to developing these types of combination approaches.

The other thing that’s exciting—and this space is always evolving—is a plenary session on innovative new therapeutic modalities. This session will focus on a couple key modalities that are already transforming the space. Antibody-drug conjugates (ADC), for example. They are basically entering every therapeutic space that we have in cancer [and] understanding of the biology around how you’re targeting certain tumor-selective antigens.

Also, the design of the ADC itself can be very, very sophisticated and can be tweaked to further enhance activity. We’ll have some great talks around the next generation of ADCs that are going to be even more effective and even safer than what we currently have.

And in that same session around innovative modalities, we’ll also have talks around immune cell engagers; also, new data and next generation immune cell engagers that have built upon the early data with the first-generation immune cell engagers. The other very innovative new therapy that we will highlight, even in more detail than last year, is around radioligand therapies—a way to selectively target tumor cells with radiation. Unlike ADCs where the payload is chemotherapy, here the payload is radiation therapy. We’ve already seen really that these radioligand therapies are incredibly important for patients; they are coming out in all different therapeutic spaces. We thought it was important to highlight the latest advances in radioligand therapies, and we also have some education sessions so that physicians and scientists understand the basics around this innovative and exciting modality.

Mischel: The concepts of glues and degraders open the therapeutic landscape in a very different way. In many ways, the landscape has been limited to enzymes that you can inhibit, and not all good cancer targets are going to be enzymes that you can inhibit, and these glues and degraders change what you can do, whether it’s getting rid of them, moving them, giving them new functions. It’s a very powerful technology that is getting ready to make an enormous difference in clinic.

Shaw:  In the opening plenary session, George Winter will speak on glues and degraders. I also wanted to highlight the “New Drugs on the Horizon” sessions. We do this every year at the annual meeting. I love these sessions because they are first time disclosures of novel cancer therapies that have just entered the clinic or they’re about to enter the clinic. These talks go deep into the biology of the disease and how the drug was discovered and developed into early clinical plans. Several talks in this session this year are going to feature molecular glue degraders. That will be a nice way to tie together this theme around the degraders and the power of this new modality.

Mischel: One other thing I want to squeeze in is why on Earth are younger people getting cancer, particularly colorectal cancer? That’s really disturbing. We have sessions that are data rich that go right at that, and the answers are interesting.

 

GEN: Will there be any programming at the meeting that addresses the current state of funding?

Shaw:  We’re fortunate that Tony Letai, MD, PhD, the NCI director, is attending and speaking at the meeting in our opening ceremony on Sunday. He’s also participating in a workshop that we’re holding on grant writing and the scientific review process. On Monday, he will give an NCI director’s address and participate in a fireside chat where I’m sure he’s going to get a lot of questions around funding.

There are also sessions within the science and health policy track at the meeting that are going to focus on federal funding of grants. There is even a researcher town hall that’s really going to talk a lot about this.

 

GEN: Do you have any advice for young cancer researchers that may be attending AACR for the first time?

Mischel: I have two bits of advice. One of them is to know that what you’re doing is incredibly important. You are welcome. You’re one of us, you’re important. Do what you need and go forward because the work that you’re doing is going to matter an enormous amount. The second thing is do not be afraid. Do not think that the senior people at the meeting, the “bigwigs,” are too busy for you. Do not think they do not want to meet you, because they do. You’re the future. Go up, introduce yourself, say hello, tell us who you are.

 

GEN: What are things you are looking forward to outside of the sessions? 

Shaw:  I love the AACR annual meeting because it’s such an opportunity not just to learn, but to network and reconnect with friends and collaborators who you may not have seen in a while. I also think it’s a great venue for many of us to have formal sit-down meetings with industry partners and talk through the latest data that were just presented and discuss new collaborations. I personally am looking forward to the 5K race that Paul and I are speaking at. I’m going to try to run the race! One of my sons runs marathons and I thought, well, the least I can do is try and run a 5K.

Mischel: I’m looking forward to having a drink with Alice after the meeting ends and debriefing on putting this meeting together, which has been an absolute pleasure. I wish I were running the 5K race. I’m doing an education session at that time. I’m looking forward to meeting the students. There are these brilliant young people from all around the world and they’re just at the start of their career and they draw inspiration from this meeting, and I really enjoy it when they come up to me and I get to meet them. You see the brilliance and excitement in these people’s faces. And I’m looking forward to that.

The post AACR 2026 Chairs Identify Themes and Highlights from the Conference appeared first on GEN – Genetic Engineering and Biotechnology News.

Integrated Sample Preparation System Standardizes and Streamlines Pre-Analytical Workflows

Invivoscribe launched the PrepQuant™ sample preparation platform that integrates nucleic acid extraction, concentration, and quantification with a single automated instrument. The product is designed to standardize sample preparation and simplify pre-analytical workflows to reduce costs and eliminate a primary source of inconsistency in molecular testing.

Developed in collaboration with Hitachi High-Tech Corporation, PrepQuant combines Invivoscribe’s experience in developing standardized molecular assays, providing global clinical testing services, along with Hitachi High-Tech’s technological and manufacturing capabilities

The PrepQuant system is assay agnostic, generating highly concentrated genomic DNA and cell free DNA (cfDNA) yields for next-generation sequencing (NGS), qPCR, and digital PCR (dPCR) assays. By consolidating multiple steps in a single platform, the system can lab operating costs, sample variability, and lab bench space, while optimizing tests results.

“PrepQuant represents a significant advancement in our commitment to standardize the entire testing process, starting with the pre-analytical workflow,” said Jeff Miller, CEO and CSO of Invivoscribe. “This is particularly important in the era of precision medicine, where reliability of measurable residual disease and liquid biopsy results depend markedly on the quality and consistency of the starting material.”

“The concept for the was driven directly by insights from LabPMM, our global network of testing laboratories,” added Jordan Thornes, vice president, global clinical lab operations. “Our teams recognized the limitations of currently available automated instruments, particularly the labor-intensive nature and increased risk of errors associated with running three separate protocols across multiple instruments. This all-in-one system was designed to reduce costs, while addressing those challenges and significantly improving operational efficiency.”

The PrepQuant is designed and validated for use with blood, plasma, and bone marrow specimens, with ongoing development for additional specimen types. Invivoscribe will officially unveil the product at the American Association for Cancer Research (AACR) Annual Meeting in San Diego, at booth #3459 from April 19–22.

 

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STAT+: Researchers behind GLP-1 obesity drugs advance new approach: Drop GLP-1 as a target

The scientists whose work spurred the development of powerful obesity drugs like Eli Lilly’s Zepbound are now raising a provocative hypothesis: Perhaps targeting the GLP-1 hormone is actually not necessary to achieve effective weight loss.

A group of researchers led by Richard DiMarchi and Matthias Tschöp has created an experimental drug that activates receptors of the GIP and glucagon hormones. They propose — based on rodent and monkey studies — that this kind of molecule, when administered at high enough doses, may result in weight loss comparable to the weight loss seen with drugs that include GLP-1 as a target, and without the tolerability issues like nausea and vomiting that often come with the approved treatments, according to a peer-reviewed draft paper published this week.

The research, funded by a biotech called BlueWater Biosciences, would still need to be confirmed in humans; oftentimes results seen in animals don’t translate in the clinic. But the proposed approach, outlined in the journal Molecular Metabolism by some of the most well-known scientists in the field, is likely to stir controversy, as it challenges a central notion underpinning not just the development of approved obesity products but also next-generation versions. 

Continue to STAT+ to read the full story…

<![CDATA[High-potency cannabis surges; psychiatry confronts psychosis risk, dependence, and data gaps—why clinicians must guide safer use now.]]>

Landmark Pancreatic Cancer Trial Highlights Promise of RAS-Targeting Daraxonrasib

Earlier this week, Revolution Medicines reported positive results from a global Phase III trial of its RAS‑targeting inhibitor daraxonrasib (RMC-6236) in metastatic pancreatic ductal adenocarcinoma (PDAC). In the RASolute 302 trial, patients receiving daraxonrasib achieved longer progression‑free survival (PFS) and overall survival (OS) than those on standard cytotoxic chemotherapy.

The RASolute 302 trial enrolled patients with pancreatic tumors harboring a wide range of RAS variants, including those with RAS G12 mutations (such as G12D, G12V, and G12R), as well as those without an identified RAS mutation. The primary endpoints of the trial were PFS and OS in patients with tumors harboring RAS G12 mutations. Secondary endpoints assessed PFS and OS in all enrolled patients (the intent-to-treat population), including those with tumors with and without (wild type) an identified RAS mutation.

Daraxonrasib patients achieved a median OS of 13.2 months versus 6.7 months for chemotherapy. The drug was generally well tolerated, with a manageable safety profile and with no new safety signals.

“With these unprecedented results, daraxonrasib has the potential to achieve our goal of bending the mortality curve in pancreatic cancer. Unlike chemotherapy, daraxonrasib is a RAS-targeted medicine that targets RAS in its active ‘ON’ state, shutting down a key signaling pathway that drives aggressive tumor growth. This is especially important in pancreatic cancer, which is among the most RAS-driven cancers, with more than 90% of tumors harboring a RAS mutation that is the driver of the cancer,” asserted Mark A. Goldsmith, MD, PhD, CEO and chairman of Revolution Medicines.

Pancreatic cancer carries one of the highest mortality rates of any solid tumor, a consequence of late-stage diagnosis and resistance to standard chemotherapy. In the United States, recent estimates point to roughly 60,000 new cases and nearly 50,000 deaths each year. With most PDAC tumors driven by RAS alterations, the early success of emerging RAS‑targeted strategies hints at how much more may be possible as this therapeutic space continues to expand.

RAS is the key oncogenic driver of pancreatic cancer. Nearly all RAS mutations occur at KRAS position G12, but RAS mutations in other isoforms and at KRAS positions G13 and Q61 are also observed. Daraxonrasib works by suppressing RAS signaling through inhibition of the interaction between both wild-type and mutant RAS(ON) proteins and their downstream effectors.

Pancreatic cancer is the most RAS-addicted of all major cancers, with more than 90% of patients harboring tumors driven by mutations in RAS proteins. These mutations span a range of RAS variants that fuel aggressive tumor behavior. Daraxonrasib, a multi-selective inhibitor of RAS(ON) proteins, is the first investigational agent in a novel class of RAS inhibitors designed to address a diverse and broad spectrum of oncogenic RAS drivers.

“For patients with metastatic pancreatic cancer, new treatment options are urgently needed to increase survival time and improve quality of life,” said Brian M. Wolpin, MD, MPH, professor of medicine at Harvard Medical School, director of the Hale Family Center for Pancreatic Cancer Research at Dana-Farber Cancer Institute, and principal investigator for the RASolute 302 trial. “The widely anticipated results of this study indicate that daraxonrasib provides a clear and highly meaningful step forward for patients with pancreatic cancer who have experienced progression on prior treatment, typically chemotherapy. I believe that this new approach is a very important advance for the field that I expect will be practice-changing for physicians and improve the care for patients with previously treated metastatic pancreatic cancer.”

Revolution Medicines now intends to submit the drug for approval by regulatory authorities, including the U.S. Food and Drug Administration as part of a future New Drug Application, and for presentation at the 2026 American Society of Clinical Oncology Annual Meeting. 

The post Landmark Pancreatic Cancer Trial Highlights Promise of RAS-Targeting Daraxonrasib appeared first on GEN – Genetic Engineering and Biotechnology News.

<![CDATA[“While studying the CAT scan, I picture Groucho Marx…”]]>

Treating enterprise AI as an operating layer

There’s a fault line running through enterprise AI, and it’s not the one getting the most attention. The public conversation still tracks foundation models and benchmarks—GPT versus Gemini, reasoning scores, and marginal capability gains. But in practice, the more durable advantage is structural: who owns the operating layer where intelligence is applied, governed, and improved. One model treats AI as an on-demand utility; the other embeds it as an operating layer—the combination of operation software, data capture, feedback loops and governance that sits between models and real work—that compounds with use.

Model providers like OpenAI and Anthropic sell intelligence as a service: you have a problem, you call an API, you get an answer. That intelligence is general-purpose, largely stateless, and only loosely connected to the day-to-day operations where decisions are made. It’s highly capable and increasingly interchangeable. The distinction that matters is whether intelligence resets on every prompt or accumulates over time.

Incumbent organizations, by contrast, can treat AI as an operating layer: instrumentation across operations, feedback loops from human decisions, and governance that turns individual tasks into reusable policy. In that setup, every exception, correction, and approval becomes a chance to learn—and intelligence can improve as the platform absorbs more of the organization’s work. The organizations most likely to shape the enterprise AI era are those that can embed intelligence directly into operational platforms and instrument those platforms so work generates usable signals.

The prevailing narrative says nimble startups will out-innovate incumbents by building AI-native from scratch. If AI is primarily a model problem, that story holds. But in many enterprise domains, AI is a systems problem—integrations, permissions, evaluation, and change management—where advantage accrues to whomever already sits inside high-volume, high-stakes operations and converts that position into learning and automation.

The inversion: AI executes, humans adjudicate

Traditional services organizations are built on a simple architecture: humans use software to do expert work. Operators log into systems, navigate operations, make decisions, and process cases. Technology is the medium. Human judgment is the product.

An AI-native platform inverts this. It ingests a problem, applies accumulated domain knowledge, executes autonomously what it can with high confidence, and routes targeted sub-tasks to human experts when the situation demands judgment that the system can’t yet reliably provide.

But inverting human-AI interaction isn’t just a UI redesign—it requires raw material. It’s only possible when the platform is built on a foundation of domain expertise, behavioral data, and operational knowledge accumulated over years.

The three compounding assets incumbents already own

AI-native startups begin with a clean architectural slate and can move quickly. What they can’t easily manufacture is the raw material that makes domain AI defensible at scale:

  • Proprietary operational data
  • A large workforce of domain experts whose day-to-day decisions generate training signals
  • Accumulated tacit knowledge about how complex work actually gets done

Services companies already have all three. But these ingredients aren’t moats on their own. They become an advantage only when a company can systematically convert messy operations into AI-ready signals and institutional knowledge—then feed the results back into operations so the system keeps improving.

Codifying expertise into reusable signals

In most services organizations, expertise is tacit and perishable. The best operators know things they cannot easily articulate: heuristics developed over the years, edge-case intuitions, and pattern recognition that operate below the level of conscious reasoning.

At Ensemble, the strategy for addressing this challenge is knowledge distillation. The systematic conversion of expert judgment and operational decisions into machine-readable training signals.

In health-care revenue cycle management, for example, systems can be seeded with explicit domain knowledge and then deepen their coverage through structured daily interaction with operators. In Ensemble’s implementation, the system identifies gaps, formulates targeted questions, and cross-checks answers across multiple experts to capture both consensus and edge-case nuance. It then synthesizes these inputs into a living knowledge base that reflects the situational reasoning behind expert-level performance.

Turning decisions into a learning flywheel

Once a system is constrained enough to be trusted, the next question is how it gets better without waiting for annual model upgrades. Every time a skilled operator makes a decision, they generate more than a completed task. They generate a potential labeled example—context paired with an expert action (and sometimes an outcome). At scale, across thousands of operators and millions of decisions, that stream can power supervised learning, evaluation, and targeted forms of reinforcement—teaching systems to behave more like experts in real conditions.

For example, if an organization processes 50,000 cases a week and captures just three high-quality decision points per case, that’s 150,000 labeled examples every week without creating a separate data-collection program.

A more advanced human-in-the-loop design places experts inside the decision process, so systems learn not just what the right answer was, but how ambiguity gets resolved. Practically, humans intervene at branch points—selecting from AI-generated options, correcting assumptions, and redirecting operations. Each intervention becomes a high-value training signal. When the platform detects an edge case or a deviation from the expected process, it can prompt for a brief, structured rationale, capturing decision factors without requiring lengthy free-form reasoning logs.

Building toward expertise amplification

The goal is to permanently embed the accumulated expertise of thousands of domain experts—their knowledge, decisions, and reasoning—into an AI platform that amplifies what every operator can accomplish. Done well, this produces a quality of execution that neither humans nor AI achieve independently: higher consistency, improved throughput, and measurable operational gains. Operators can focus on more consequential work, supported by an AI that has already completed the analytical groundwork across thousands of analogous prior cases.

The broader implication for enterprise leaders is straightforward. Advantages in AI won’t be determined by access to general-purpose models alone. It will come from an organization’s ability to capture, refine, and compound what it knows, its data, decisions, and operational judgment, while building the controls required for high-stakes environments. As AI shifts from experimentation to infrastructure, the most durable edge may belong to the companies that understand the work well enough to instrument it and can turn that understanding into systems that improve with use.

This content was produced by Ensemble. It was not written by MIT Technology Review’s editorial staff.