Emotional Training via Telerehabilitation After Surgical Treatment for Facial Palsy: Prospective, Assessor-Blinded, 2-Arm Pilot Cohort Study

Background: Peripheral facial nerve palsy is a debilitating condition that may necessitate surgical intervention. Although motor rehabilitation is considered essential, the most effective approach has not yet been determined. Objective: This study aimed to evaluate the feasibility and effectiveness of emotional training, a novel telerehabilitation-based treatment, on motor, functional, and psychological outcomes in patients with unilateral facial palsy following triple innervation surgery. Methods: A prospective, assessor-blinded, 2-arm pilot cohort study was conducted at the rehabilitation unit at University Hospital San Paolo, Milan, Italy, from January to October 2024. Participants (N=16) received 1 treatment session every 2 weeks over 20 weeks, each lasting 45 minutes, according to standard clinical procedures in place at the rehabilitation unit. Participants were nonrandomly assigned to either an in-person group (n=8) or an online group (ie, telerehabilitation; n=8) based on their ability to attend in-person sessions. The primary outcomes assessed at baseline (T0) and after treatment (T1) included facial symmetry (Sunnybrook Facial Grading System; SFGS), facial disability (Facial Disability Index; FDI), and anxiety levels (Beck Anxiety Inventory). Results: Statistical analysis revealed significant improvements at T1 for both groups in the FDI social and well-being function subscale, Beck Anxiety Inventory, SFGS resting symmetry score, SFGS symmetry of voluntary movement score, SFGS composite score, SFGS with bilateral masseter contraction symmetry of voluntary movement score, and SFGS with bilateral masseter contraction composite score (<.001 for all). Only the FDI physical function subscale showed a differential improvement at T1 for the in-person group treatment (ANOVA for time × treatment: =14.356; =.002; Holm-Bonferroni post hoc test: <.001). Finally, a strong positive correlation was observed between the time elapsed from surgery to rehabilitation and SFGS composite score improvement at T1 (=0.94; =.005). Conclusions: These results suggest that the online emotional training protocol is as feasible and effective as the in-person emotional training protocol in improving facial motor function, reducing anxiety, and enhancing facial expression spontaneity in patients who had undergone surgery for peripheral facial palsy. These findings support the validity of telerehabilitation approaches as a feasible, accessible, and sustainable alternative to conventional in-person therapy for facial nerve recovery.

Digital Phenotyping via Passive Network Traffic Monitoring: Prospective Observational Study in University Students

Background: Digital behaviors such as sleep, social interactions, and productivity reflect how individuals structure their daily lives. Among university students, online activity patterns mirror academic schedules, social rhythms, and lifestyle habits, with disruptions linked to sleep, stress, and well-being. Existing approaches—including wearables, apps, and surveys—depend on self-report or active participation, limiting long-term adherence. Passive sensing of network traffic offers a scalable alternative for the unobtrusive capture of smartphone usage patterns that preserves privacy. Objective: This study evaluated the degree to which encrypted smartphone network traffic, collected via a standard virtual private network (VPN), can capture patterns of digital behavior. We assessed feasibility (sustained data capture) and acceptability (usability, burden, and privacy perceptions) and examined how traffic-derived features reveal aspects of digital behavior—including timing, intensity, and regularity—relevant to health and daily functioning. Methods: We conducted a 2-week prospective observational study at New York University. Participants installed the WireGuard VPN client on personal smartphones, enabling passive capture of encrypted network traffic. Feasibility was assessed using a mixed methods approach combining quantitative measures of user retention and data coverage with qualitative analysis of semistructured exit interviews. Acceptability was evaluated using the System Usability Scale, NASA Task Load Index, and qualitative interview analysis. Exploratory analyses visualized traffic-derived features in relation to digital activity patterns. Results: Thirty-eight students consented, of whom 29 (76.3%) contributed valid network traffic data and formed the analytic cohort. Within this cohort, 93% of participants (27/29; Wilson 95% CI 78%‐98%) contributed at least 5 days of monitoring, corresponding to 71% retention relative to all consented participants (27/38; Wilson 95% CI 55%‐83%). The mean data coverage within the analytic cohort (n=24) was 74.1% (SD 19.3%; median 77.1%, IQR 63.6%-90.0%; bootstrap 95% CI 66.3%‐81.4%). These participants contributed an average of 311.6 (∼13 d, SD 3.5) hours of monitored traffic, ranging from 121 to 496 hours. Acceptability outcomes were evaluated among participants completing the exit survey and interview. Usability ratings were high (System Usability Scale score: mean 78, SD 14.96), and perceived workload was low (NASA Task Load Index scores were minimal). Participants described the system as easy to install, unobtrusive, and generally trustworthy, although some reported temporarily disabling the VPN during activities they considered private. No inferential statistical tests were conducted; analyses were descriptive. Exploratory analyses indicated that traffic-derived features reflected daily digital activity rhythms and revealed distinctive lifestyle patterns, including gaming and irregular late-night food delivery use. Conclusions: VPN-based monitoring of encrypted smartphone traffic was feasible and acceptable, enabling sustained passive data collection with minimal burden. This approach shows promise as a scalable, device-agnostic method for digital phenotyping that captures fine-grained behavioral rhythms while preserving privacy. With broader validation, this technique could expand the toolkit for studying health and well-being in everyday life.
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<![CDATA[Adial seeks FDA priority voucher to speed AD04 review, a biomarker-guided therapy aiming to curb heavy drinking in alcohol use disorder.]]>

Anticancer Strategy Targets Defense Mechanism in Senescent Cells

Scientists headed by a team at MRC Laboratory of Medical Sciences (LMS) and Imperial College London have found that a new set of drugs can exploit a recently-revealed weakness in senescent—or ‘zombie-like’—cells, a finding that could lead to new treatments for cancer and age-associated diseases.

Senescent cells walk a tightrope, risking cell death with high levels of iron and other damaging agents, but compensating for this by overproducing a protective protein, GPX4, which staves off death. The team showed that targeting this defense mechanism removes the shield and could be used to treat diseases that are associated with senescence, including cancer. Tests showed that combining anticancer therapies with GPX4 inhibitors eliminated senescent tumor cells in models of melanoma, prostate and ovarian cancer. This approach, they say, could complement existing treatments to bring much-needed improvements for cancer patients.

Mariantonietta D’Ambrosio, PhD, a postdoctoral researcher at the LMS, is first author of the international research team’s published paper in nature cell biology, titled “Electrophilic compound screening identifies GPX4-dependent ferroptosis as a senescence vulnerability.”

Cancers grow as a result of unconstrained cell division. But within most tumors, there is a portion that does not divide at all: senescent cells. Chemotherapy often increases the proportion of senescent cells in a tumor as it aims to stem the rapid proliferation, the team explained. However, while these senescent cells don’t directly increase the size of a tumor, they can wreak havoc in their own way.

Senescent cells, which are also a defining feature of aging conditions such as fibrosis, influence neighboring cells by secreting molecules that increase proliferation, the spread of the cancer, and unwanted immune system activity. “Senescent cells drive aging and age-related pathologies, including cancer,” the team wrote. There is therefore an increasing interest in developing drugs that directly target and kill senescent cells, in cancer and beyond. “Consequently, senolytics, drugs that selectively kill senescent cells, have broad therapeutic appeal,” they continued. “Compounds that selectively kill senescent cells (senolytics) can treat different age-related pathologies.”

The study by D’Ambrosio and colleagues has identified a new approach to killing senescent cells in cancer.  “Senescence was considered for a long time to be positive, because senescent cells don’t proliferate, which is the core feature of cancer,” D’Ambrosio explained. “Normal chemotherapy induces senescence blocking the proliferation of cancer cells, so the tumor doesn’t get bigger. But with time you also see the negative side of the senescent cells, because they secrete a lot of factors that influence neighboring cells and induce even more proliferation, metastasis, and recruitment of bad parts of the immune system that will provoke even more aggressiveness in the tumor.  For this reason, we tried to find some drugs that were able to kill the senescent cells.”

The researchers cast a broad net in their search for new drugs that might kill senescent cells. Together with collaborators at the Department of Medicinal Chemistry at Imperial, they decided to examine covalent compounds, a class of inhibitors that can form a covalent bond with their target, which can result in the inhibition of proteins previously considered undruggable. The investigators introduced 10,000 different covalent compounds to both senescent cells and normal cells, looking for the ones that preferentially killed senescent cells and classing the drug as “senolytic,” or senescent-killing.

They narrowed their results down to just four promising compounds and found that three of them affected a particular protein, GPX4, which has a protective role in cells, helping stave off ferroptosis, a type of cell death associated with high levels of iron and destructive reactive oxygen species. To protect themselves against the high levels of iron and other ferroptosis-causing agents, senescent cells have high levels of GPX4. It is like proactively taking a painkiller so a person can keep running on an ankle. The damage and danger remains, but the immediate risks are bypassed. Removing the painkiller makes the pain unbearable.

“Senescent cells are primed for ferroptosis and upregulate GPX4 as a protective mechanism,” the team noted. Ferroptosis had only recently been revealed as a potential weakness of senescent cells. D’Ambrosio commented, “recent papers have shown this predisposition of senescent cells to ferroptosis, but it’s a new senescence vulnerability. That creates an opportunity for us to exploit. So now there is research to find senolytic drugs to kill cells through ferroptosis.”

The researchers found that blocking the activity of GPX4 removes the shield, making fatal ferroptosis unavoidable. The authors further commented, “We concentrated our studies on four chloroacetamides displaying senolytic activity in different models of senescence … GPX4 was a target of three of the four senolytic chloroacetamides. GPX4 is a glutathione peroxidase that prevents ferroptosis by reducing lipid peroxidation.”

The team tested their drugs with three different mouse models of cancer and saw improved outcomes as a result of senescent cell death in each case. Translating this to patients could be a huge asset to cancer treatments. “In mouse models we saw that these drugs reduced tumor size, and improved survival,” noted professor Jesus Gil, PhD, senior author and head of the senescence group at the LMS. “Now we need to see the effect on the immune system. Is the improvement also awakening the ‘good side’ of the immune system (T cells, natural killer cells) that helps to kill the tumor? … Once we know more, the next step is to understand which cancer cell types or specific patients might better respond to this treatment. For example, if a patient undergoing chemotherapy overexpressed GPX4 then you could use this approach in combination with existing drugs to improve efficacy.”

This approach offers a much-needed new perspective on cancer therapy, pinpointing senescent cells as an underexploited target. D’Ambrosio says it has potential to transform treatment. “Targeting senescence is a huge opportunity for cancer treatments, and ultimately it can play a supporting role in addition to chemotherapy and immunotherapy.”

The post Anticancer Strategy Targets Defense Mechanism in Senescent Cells appeared first on GEN – Genetic Engineering and Biotechnology News.

The missing step between hype and profit

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

In February, I picked up a flyer at an anti-AI march in London. I can’t say for sure whether or not its writers meant to riff on South Park’s underpants gnomes. But if they did, they nailed it: “Step 1: Grow a digital super mind,” it read. “Step 2: ? Step 3: ?”

Produced by Pause AI, an international activist group that co-organized the protest, it ended with this plea to the reader: “Pause AI until we know what the hell Step 2 is.” 

In the South Park episode “Gnomes,” which first aired in 1998, Kenny, Kyle, Cartman, and Stan discover a community of gnomes that sneak out at night to steal underpants from dressers. Why? The gnomes present their pitch deck. “Phase 1: Collect underpants. Phase 2: ? Phase 3: Profit.”

The gnomes’ business plan has since become one of the greats among internet memes, used to satirize everything from startup strategies to policy proposals. Memelord in chief Elon Musk once invoked it in a talk about how he planned to fund a mission to Mars. Right now, it captures the state of AI. Companies have built the tech (Step 1) and promised transformation (Step 3). How they get there is still a big question mark.

As far as Pause AI is concerned, Step 2 must involve some kind of regulation. But exactly what it will call for and who will enforce it are up for debate.

AI boosters, on the other hand, are convinced that Step 3 is salvation and tend to glaze over the middle bit. They see us racing toward sunny uplands on the back of an “economically transformative technology,” as OpenAI’s chief scientist, Jakub Pachocki, put it to me a few weeks ago. They know where they want to go—more or less: It’s hazy up there and still some way off. But everyone’s taking a different route. Will they all make it? Will anyone?

For every big claim about the future, there is a more sober assessment of how the rubber meets the road—one that quells the hype. Consider two recent studies. One, from Anthropic, predicted what types of jobs are going to be most affected by LLMs. (A takeaway: Managers, architects, and people in the media should prepare for change; groundskeepers, construction workers, and those in hospitality, not so much.) But their predictions are really just guesses, based on what kinds of tasks LLMs seem to be good at rather than how they really perform in the workplace.   

Another study, put out in February by researchers at Mercor, an AI hiring startup, tested several AI agents powered by top-tier models from OpenAI, Anthropic, and Google DeepMind on 480 workplace tasks frequently carried out by human bankers, consultants, and lawyers. Every agent they tested failed to complete most of its duties.   

Why is there such wide disagreement? There are a number of factors. For a start, it’s crucial to consider who is making the claims (and why). Anthropic has skin in the game. What’s more, most of the people telling us that something big is about to happen have reached that conclusion largely on the basis of how fast AI coding tools are getting. But not all tasks can be hacked with coding. Other studies have found that LLMs are bad at making strategic judgment calls, for example.

What’s more, when they’re deployed, the tools aren’t just dropped into a cleanroom. They need to work in places contaminated with people and existing workflows. And sometimes adding AI will make things worse. Sure, maybe those workflows need to be torn up and refashioned around the new technology for it to achieve transformative status, but that will take time (and guts).  

That big hole? It’s right where Step 2 should be. The lack of agreement on exactly what’s about to happen—and how—creates an information vacuum that gets filled by the latest wild claim of the week, evidence be damned. We’re so unmoored from any real understanding of what’s coming and how it will be deployed that a single social media post can (and does) shake markets.

We need fewer guesses and more evidence. But that’s going to require transparency from the model makers, coordination between researchers and businesses, and new ways to evaluate this technology that tell us what really happens when it’s rolled out in the real world.

The tech industry (and with it the world’s economy) rests on the held-out promise that AI really will be transformative. But that is not yet a sure bet. Next time you hear bold claims about the future, remember that most businesses are still figuring out what to do with their underpants.

Mailed FIT-DNA Test Improves Colorectal Cancer Screening Rates in U.S.

A screening test mailed to participants that looks for blood and DNA markers of cancer in human stool, Fecal immunochemical test (FIT)-DNA, was more popular than a test looking for blood alone, show results from a study carried out in Boston and Los Angeles.

The community-based study, published in JAMA Internal Medicine, showed that uptake of the FIT-DNA test at 90 days was 28% versus 23% in the FIT test group that looks at blood alone.

“Stool-based screening tests are common in community health centers where access to colonoscopy is limited…. Although FIT is typically provided during a visit, there is increasing evidence for mailed outreach to increase uptake,” explain lead author Jennifer Haas, MD, of the Division of Internal Medicine in the Mass General Brigham Department of Medicine.

“FIT-DNA is a newer stool-based screening test, with increasing popularity in community health centers, commonly performed every three years and mailed directly to patients by the manufacturer.”

This study aimed to assess the uptake of mailed FIT and FIT-DNA tests in 5127 participants from the greater Boston area in Massachusetts and Los Angeles County in California. English or Spanish speaking participants aged 45–75 years were eligible.

Some participants were sent FIT‑DNA kits along with the manufacturer’s standard outreach program, while others received FIT kits by mail plus automated text reminders from the study team. Those with abnormal results on either test were directed to have a colonoscopy.

The uptake of the FIT-DNA and FIT tests at 90 and 180 days was 28% and 32%, respectively in the FIT-DNA group and a respective 23% and 27% in the FIT group. Overall, screening was higher in the Boston-based participants than the Los Angeles participants.

The researchers believe the FIT-DNA test may have been more popular due to good outreach support of that test and the fact that it is only needed once every three years.

Notably, only 36% of people referred for colonoscopy from both the FIT and FIT-DNA groups actually attended an appointment, which the researchers say is “suboptimal.”

“Effective screening is essential because it allows us to catch and treat cancer early,” Haas said in a press statement. “There are evidence-backed, preventive interventions for colorectal cancer, but they need to be implemented systematically in a way that addresses barriers for both the community health centers and the patients they are serving. The best screening test will always be the one that people are able to complete.”

The post Mailed FIT-DNA Test Improves Colorectal Cancer Screening Rates in U.S. appeared first on Inside Precision Medicine.

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Monoclonal Antibodies: Unlocking Cost and Efficiency Gains in Downstream Processing



Image of Kristina Pleitt

Kristina Pleitt

Senior Staff Scientist
Thermo Fisher Scientific

Panelist

Image of Kristina Pleitt

Kristina Pleitt

Kristina Pleitt is a senior staff scientist at Thermo Fisher Scientific with 15 years of experience in biopharmaceutical process development and manufacturing. Her expertise includes downstream process development, process scale-up, integrated continuous processing, and clinical and commercial production, with a particular focus on advancing intensified downstream strategies that improve process efficiency, performance, and manufacturability.



Broadcast Date: 

  • Time: 

Analytical developers and downstream scientists are under constant pressure to improve process efficiency while maintaining product quality for monoclonal antibodies (mAbs). Yet, many platform purification processes still leave untapped opportunities for optimization, cost reduction, and simplification.

In this webinar, our speaker will explore a series of practical, chromatography-focused strategies designed to enhance mAb purification performance while reducing cost of goods (COGs). Using real-world examples and process scenarios, attendees will gain insight into:

  • Identifying opportunities to simplify traditional mAb purification workflows
  • Improving Protein A performance and lifetime to drive cost savings
  • Enabling efficient two-step downstream processes through better impurity management
  • Addressing difficult HCP and aggregate clearance challenges with advanced polishing strategies

A live Q&A session will follow the presentation, offering you a chance to engage directly with our expert and discuss how these approaches can be applied to your own processes.

Produced with support from:

Thermo Fisher logo

The post Monoclonal Antibodies: Unlocking Cost and Efficiency Gains in Downstream Processing appeared first on GEN – Genetic Engineering and Biotechnology News.

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Genetic Medicine Delivery Enhanced by Producer Cell Modifications

Gene editing has emerged as a powerful approach for targeting the genetic causes of disease, yet delivering the editing machinery into the correct cells efficiently, safely, and at the scale needed for therapies remains one of the biggest bottlenecks.  

Among the leading delivery vehicles are engineered virus-like particles (eVLPs), which can enter human cells similar to viruses but carry no viral genes. Instead, these delivery vehicles carry gene editing tools for therapeutic applications.  

In a new study published in Nature Communications titled, “Genome-wide screening reveals producer-cell modifications that improve virus-like particle production and delivery potency,” researchers from Whitehead Institute have developed a platform that systemically identifies which genes drive or block particle assembly to engineer cells that yield more potent delivery vehicles. 

“We can engineer the particles as much as we want, but if we don’t understand how the producer cells are actually making the particles, we’re limited in how much we can improve production,” said Aditya Raguram, PhD,  Valhalla Fellow at Whitehead Institute and corresponding author of the study.

As virus-like particles are assembled inside cultured human cells, the authors ran a genome-wide search to identify which genes are crucial in the production process by generating a large pool of producer cells in which nearly every gene in the human genome was switched off in the population. This approach generates eVLPs loaded with guide RNAs that identify the genetic perturbation in the cell that produced a particular particle. The team could then identify which gene shutdowns enabled and disabled particle production. 

“One thing that surprised me was how clearly the search was able to highlight specific pathways that play a major role in the production of these particles,” said Diana Ly, research technician at Whitehead Institute and first author of the study. 

The single gene whose removal most boosted production normally reduces the cell’s output of guide RNAs. Disabling this gene enabled cells to generate more guide RNA and particles to carry more functional cargo. 

The improvement also extended across different gene editing tools and particle designs. The team tested the modified producer cells with diverse gene editors and four other delivery-vehicle systems from external labs, and produced improved particles. 

“Because guide RNA loading is basically universal across different cargo types and particle types, this improvement could be quite broadly useful beyond the particles we’ve developed,” Raguram says. 

Looking ahead, the authors are extending the screening platform to expand beyond switching off one gene at a time to examine how other cellular changes influence particle production. The team is sharing its engineered cell lines with the research community to improve the delivery of gene editing tools into immune cells, neurons, and other cell types important for treating disease. 

For Raguram, the work speaks to a broader task facing the gene editing field. 

“This delivery challenge is one of the last remaining bottlenecks that really limits the widespread application of gene editing technologies,” he says. “Solving the challenges associated with production could move virus-like particles closer to being ready for use in patients.” 

The post Genetic Medicine Delivery Enhanced by Producer Cell Modifications appeared first on GEN – Genetic Engineering and Biotechnology News.