<![CDATA[Explore practical ways psychiatrists address sexual side effects and adjust medication for older adults.]]>

Metaverse-Based Virtual Reality for Remote Anatomy Education: Pilot Randomized Controlled Trial

Background: Traditional anatomy teaching relies on cadaveric dissection and 2D resources, which often require in-person attendance and may limit spatial understanding. Virtual reality (VR) provides an immersive, remote alternative that supports 3D visualization from home. Recent evidence suggests that while VR may yield comparable factual knowledge gains to 2D methods, its primary value lies in enhancing learner engagement, motivation, and perceived educational value. Objective: This pilot randomized controlled trial compares remote synchronized VR with didactic animated anatomy lectures for the teaching of tracheostomy anatomy. Methods: Participants were recruited via convenience sampling through the VRiMS (Virtual Reality in Medicine and Surgery) Surgical Society network. All participants first attended a synchronous 20-minute online lecture delivered by a consultant surgeon. They were then individually randomized to one of 2 groups using a computer-generated sequence. Allocation was concealed until the intervention; however, participants and researchers were unblinded. The intervention group completed a 10-minute metaverse-based VR session, delivered by a consultant surgeon via 3D Organon’s Medverse platform on the PICO 4 Ultra headset. The control group completed a 10-minute prerecorded 2D animated lecture, accessed on their personal device. Participants then swapped to the other modality. Data were collected via Google Forms at 3 intervals (baseline, postintervention, and postcrossover) to assess confidence, spatial understanding, and knowledge (10-item multiple-choice questions). The analysis of nonparametric data utilized Wilcoxon signed-rank tests for within-group changes and Mann–Whitney tests for between-group differences. Results: Twenty-four medical students from 11 United Kingdom and Irish medical schools participated. Adherence was 100%, with all participants completing their assigned 10-minute intervention and all assessment points. Ninety-two percent of participants (n=22) reported no prior tracheostomy anatomy teaching. Additionally, 83% (n=20) had no prior remote-synchronized VR anatomy teaching experience. Anatomical confidence improved significantly in the VR group compared with animation (mean change 1.58, SD 1.00 vs mean 0.50, SD 0.80, =.01). Knowledge scores improved significantly in both groups (VR: mean 1.75, SD 1.54, =.007; animation: mean 2.83, SD 1.70, =.003), with no significant postintervention difference between groups (=.46). VR participants reported significantly superior spatial understanding across all measured domains (all ≤.009). These included depth perception (3.75 vs 2.58, =.009), appreciation of anatomy from different viewpoints (4.25 vs 2.33, =.001), mental reconstruction from varying angles (3.83 vs 2.08, =.002), and spatial depth supporting anatomical understanding (4.08 vs 2.08, =.001). Following the completion of both modalities, participants rated VR as more engaging (mean 4.54, SD 0.78) and more educationally effective (mean 4.29, SD 0.95) than animation. Conclusions: Remote VR teaching is feasible and engaging and enhances spatial understanding compared to animation. While knowledge gains were comparable between modalities, VR improved learner confidence and perceived 3D comprehension. Hence, VR may represent a scalable adjunct or alternative to traditional anatomy teaching.
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ADHD Brain Marker Value in Doubt

Longstanding links between attention-related problems and changes in the brain’s cortex during childhood and adolescence could simply be due to developmental differences between the sexes, a study suggests.

The findings, in PNAS, showed that links between attention problems and slowed rates of cortical thinning were no longer evident after taking sex into account.

The results call into question proposals to use brain maturation patterns as biomarkers for attention deficit/hyperactivity disorder (ADHD) and related conditions.

More generally, they reveal the importance of accounting for sex differences during scientific investigations.

“For nearly two decades, delayed age-related cortical thinning has been widely viewed as a neurodevelopmental marker of attention-related psychopathology and ADHD,” reported Shannon O’Connor, PhD, from the University of Vermont, and co-workers.

“However, our findings suggest that this association may be largely confounded by sex differences in cortical development.”

Delayed thinning of the brain’s cortex—its outermost layer of grey matter—has long been proposed as a biomarker for ADHD-related conditions.

To investigate its value further, O’Connor and team studied 26,496 MRI scans from 11,025 adolescents.

The team initially found there was a link between attention problems and reduced rates of age-related cortical thinning across predominantly frontoparietal regions. Reduced rates of age-related thinning were associated with higher scores relating to attention problems.

However, this link dramatically reduced after accounting for sex differences in cortical thickness trajectories.

There were no significant age and attention problem interactions on cortical thickness when the sexes were studied separately. Furthermore, the genetic risk of ADHD was also not associated with slowed thinning in this region of the brain.

“Taken together, these findings suggest that previously reported associations between attention problems and delayed cortical thinning are largely attributable to unaccounted-for sex differences in neurodevelopment,” the authors concluded.

“Our results call into question an influential framework in developmental neuroscience and psychiatry that has shaped clinical understanding of ADHD for nearly 20 years, underscoring that cortical maturation patterns should not be interpreted as biomarkers for attention-related psychopathology without rigorous accounting for sex-related variation in brain development.”

The post ADHD Brain Marker Value in Doubt appeared first on Inside Precision Medicine.

Paddy Pimblett on Mental Health Fitness 

MMA Champion Paddy Pimblett’s candid message to young people

In recognition of Mental Health Awareness Month, the Child Mind Institute has launched the Mental Health Fitness campaign — a national call to action highlighting the importance that caring for one’s mental health is just as important as physical health. 

Paddy Pimblett, an English MMA champion, opens up about relying on training to strengthen his body and steady his mind. His message goes beyond sports: structure, purpose, and setting achievable goals can be transformative, especially for young people struggling to feel “good enough.” By speaking candidly about his mental health, he offers a version of strength rooted in resilience, honesty, and showing up for yourself every day.

“I’ve suffered with mental health problems and depression, and I’ve had to get through them. Any kid who’s out there and feels they’re not good enough, just like I did, get some structure in your life. Start doing something where you’ve got a goal at the end of it, so you’re striving to be the best at something. That’s what pushes me on every day.”


About Paddy Pimblett

Paddy Pimblett is an English professional mixed martial artist known for his rising success in the UFC lightweight division. He was named the 2022 Breakthrough Fighter of the Year at the World MMA Awards. Known as Paddy “The Baddy”, Pimblett has built a large following both inside and outside of the Octagon for his entertaining fighting style and his openness about personal struggles and emotional well-being.

About Mental Health Fitness

For decades, we’ve understood that physical fitness doesn’t just happen — it takes skills, regular practice, and a supportive environment. The same is true for mental health. Developed by experts at the Child Mind Institute for three different age groups, our Mental Health Fitness guides have been used by more than 1.8 million students, caregivers, and educators to build emotion regulation skills and resilience. Whether your child is 5 or 15, struggling or thriving, they can learn these skills. And you can practice alongside them. Learn more at Mental Health Fitness.

Related Resources

The post Paddy Pimblett on Mental Health Fitness  appeared first on Child Mind Institute.

Google DeepMind and Edison Are Building the AI Scientist

Google DeepMind and Edison Scientific are on an ambitious mission to build the AI scientistThese platforms propose to automate the scientific method using reasoning systems that connect hypothesis generation, experimental design, and data interpretation in one platform. In drug discovery, where traditional development timelines can stretch beyond a decade, such systems promise to dramatically accelerate the pace of biomedical research.

The AlphaFold developer and the nonprofit home organization behind Edison, FutureHouse, originally introduced their respective systems, Co-Scientist and Robin, as bioRxiv preprints in early 2025. Those studies have now been published in Nature, marking another step toward a growing ecosystem of specialized AI agents for life science research. 

Led by Demis Hassabis, PhD, CEO, and 2024 Nobel laureate in Chemistry, DeepMind is no stranger to expanding biomedicine. The team published a January Nature paper describing AlphaGenome, a unifying DNA sequence model for regulatory variant-effect prediction to support understanding of genome function and disease biology. 

Additionally, DeepMind drug discovery spinout, Isomorphic Labs, recently made waves after securing a whopping $2.1 billion Series B led by Thrive Capital, signaling the industry’s growing investment in AI-driven therapeutics. 

I’ve always believed the No.1 application of AI should be to improve human health,” wrote Hassabis on LinkedIn when announcing Isomorphic’s blockbuster raise. 

DeepMind’s newly published AI assistant, Co-Scientist, is a general-purpose multi-agent system built with Google’s Gemini and driven by natural language prompts. The platform demonstrated initial validation across three biomedical applications: drug repurposing for acute myeloid leukemia, novel target discovery for liver fibrosis, and explaining mechanisms of anti-microbial resistance. 

Co-Scientist’s design scales test-time compute to iteratively reason, evolve, and improve the output as it gathers more knowledge. Researchers can also actively steer the system by refining generated ideas or providing feedback through the natural language chat.

Vivek Natarajan, research scientist at DeepMind, emphasizes that time is a valuable commodity when tackling disease. Co-Scientist aims to support humans scientists in reaching answers to their problems much faster than before, from “months and years to minutes and hours.”

“To realize this vision, we need to build in reliability, trustworthiness and ensure a collaborative human-AI interaction paradigm. We have done a lot of research on these aspects and we are continuing to improve,” Natarajan told GEN Edge.

Closing the loop 

Edison is the commercial spinout of FutureHouse, an AI scientist non-profit backed by former Google CEO Eric Schmidt and co-founded by Sam Rodriques, PhD, former group leader at The Francis Crick Institute and Edison’s CEO. The team’s newly published platform, Robin, leverages both OpenAI o4-mini and Anthropic Claude 3.7 to aid biological discovery.  

In research tasks, Robin proposed repurposing Ripasudil, an existing drug for treatment of glaucoma, to address dry age-related macular degeneration (dAMD) via a novel mechanism that enhanced retinal pigment epithelial cell phagocytosis. The platform also suggested a circadian clock modulator, KL001, as an unexpected treatment for dAMD, illustrating the ability to make new connections not found in existing literature. Both insights were experimentally validated in patient-derived retinal pigment epithelium (RPE) cells. 

Since Robin’s May 2025 preprint release, Edison unveiled an updated AI scientist, Kosmos, last November. Kosmos can reason over 175 million full-text papers, clinical trials and patents, and operate interactively as a colleague that can sends updates mid-run. The system is reported to perform hundreds of research tasks in parallel to compress months of work into a single day.  

Today, Edison announced a collaboration with Incyte to employ Kosmos across the global pharma’s discovery and development pipeline. The partnership will focus on enabling continuous learning from translational and clinical data, real-time synthesis of evidence, and predictive models of therapeutic performance.

Michaela Hinks, founding member of technical staff at Edison, says the main bottlenecks for AI scientist adoption are trust, validation, and the gap in end-to-end solutions.  

“Most AI tools accelerate the cheaper and easier upstream work, but not the expensive and regulated downstream stages of scientific research,” Hinks told GEN Edge. 

She also highlights Robin as the first demonstration of an agentic AI scientist generating a hypothesis that is tested and validated in patient-derived cells, not an immortalized cell line, supporting clinically actionable insights for patients in need. 

Whether AI scientists will truly revolutionize discovery remains to be seen, but researchers are already beginning the experiment.  

The post Google DeepMind and Edison Are Building the AI Scientist appeared first on GEN – Genetic Engineering and Biotechnology News.

<![CDATA[New data from 245K clinicians reveals therapy access roadblocks—and how online scheduling helps patients find available care faster.]]>
<![CDATA[Four fathers share real-time signs of suicide crisis syndrome—insomnia, agitation, withdrawal—showing why standard screening misses imminent danger.]]>
<![CDATA[Learn more about strategies for deprescribing, and the importance of finding the most effective medication possible.]]>

Understanding the modern cybercrime landscape

Throughout 2025, HPE observed significant changes in how cybercriminals operate. Analyzing real-world threats, our HPE Threat Labs highlighted an industrialization of the cyber criminals’ methods in its new In the Wild Report, enabling greater scale, speed and structure in their campaigns. They typically use automation and AI to exploit longstanding vulnerabilities, and many have adopted a professional, corporate hierarchy to optimize their efficiency.

Cybersecurity threats today are as menacing as ever for enterprises, as any CISO or CIO can probably confirm. But, digging behind that straightforward statement, there is a much more nuanced, complex cybersecurity landscape at play. This can make it significantly harder to plan, execute, and sustain effective strategies and solutions to protect the network—plus the often valuable—sometimes priceless—data, apps, and assets it transports and stores.

But it can be done, with the right philosophy and strategy, and the right tools and insights.

We must first understand the contemporary cybersecurity landscape. This understanding can unlock the right strategy and then onward to identify the tools and insights necessary to protect an enterprise’s network effectively.

There are five primary factors influencing the landscape, some old, some new, all dynamic. These factors are distinct but often interdependent, both within themselves and with one or more of the others. Another meaningful way of looking at them is “internal” and “external”; as ever, understanding and dealing with what is in your control can also help to navigate and mitigate what is beyond your control.

Five key factors influencing today’s dynamic cybersecurity landscape

1. Expectations

The first factor is predicated on the fundamental reality of an enterprise’s reliance on its network. Most enterprises have already undergone some form of digital transformation and are reaping the day-to-day benefits. This means that the number of people, devices, and things using the network continues to grow; it also means that people’s expectations of the network are higher than ever before – they demand that it does exactly what they need it to do, typically across a proliferation of devices and from multiple locations. Conversely, many employees might not be fully aware of cyber threats and infiltration methods, so their skillsets can easily be the weak point that admits bad actors into the network.

Equally, senior management and board members have high expectations at a meta level. Embracing digital transformation and network reliance means the enterprise’s function and reputation are inextricably tied to that. Loss of reputation due to a security breach is a chilling prospect, as is the threat of financial penalty and revenue loss. So, in the minds of leadership, the network has to be safe from cyber threats and be compliant.

2. Financial pressures

The first factor arguably contradicts its neighbor in the landscape: general financial constraints and the pressure on CISOs and CIOs to achieve more with less. Despite the strategic reliance on the network and the expectation that it will be protected from cyber threats regardless, the appropriate latticework of defenses (e.g., skilled and right-sized IT teams using progressive tools and meaningful data insights, plus constant workforce education) is not always properly funded and sustained, particularly in the current tough economic climate.

3. Complex infrastructure operations

The ongoing pursuit of digital transformation and consequent network reliance also drives the third factor. Ironically, there is another facet of enterprise protection and financial control wrapped up in this. The widespread move from one-stop shops (avoiding IT vendor lock-in in favor of more competitive pricing and autonomy) has created a more complex, multivendor environment. This is coupled with multiple IT domains required to handle many diverse functions and layers of IT infrastructure (e.g., cloud, on-prem), all connected to the network. Complex, mission-critical IT operations now need to be monitored and protected from increasingly sophisticated cyber breaches.

4. Unpredictable geopolitics and economics

Shifting from the first three factors—all internal to an enterprise—the fourth is unquestionably external and without doubt the most intractable risk for any enterprise, individual, or industry group. Global uncertainty and tension are unavoidably putting even greater pressure on already-tight IT budgets, component supply chains and power costs. This can easily exacerbate existing constraints on cybersecurity budgets when vigilance and protection are more needed than ever. Unfortunately, in cyberspace one cannot always point a finger in one direction to identify an adversary. Geopolitical alliances in cyberspace are much more difficult to track, and defending against an escalating tension becomes an all-out fight to secure the network.

5. Evolving cyber threats

The fifth factor is obviously the epicenter of today’s cyber security landscape. According to the HPE Threat Labs’ report, governments were the most frequently targeted sector globally in 2025, followed by finance, technology, defense, and manufacturing. The prevailing global geopolitical and economic situation may further accelerate the twin motivations of nation state-linked espionage and organized crime for extortion and theft.

Use the network to protect the network… and beyond

The current cybersecurity landscape calls for a re-think of the network’s pivotal role and how it can manage an enterprise’s digital defenses effectively, dynamically, and comprehensively. Overall, the network can be an excellent security sensor and enforcement point, using built-in security capabilities rather than being a collection of devices with an inflexible, bolted-on security layer.

Much as cybercriminals use agentic and generative AI to intensify their campaigns, CISOs can stay ahead more easily by leveraging AI-driven network platforms for 24×7 automated management of security policy enforcement (e.g., zero trust), threat monitoring, and mitigation, encompassing devices, things, and users. Meaningful data insights can be harvested, analyzed, and recycled back into secure networking management tools for dynamic protection.

This approach helps the progressive enterprise to overcome increasingly sophisticated, multi-step, and prolific attacks, while better managing IT costs and simplifying oversight of IT operations. It can also significantly improve the user experience, going a long way to meet and even exceed those rising expectations consistently. 

As a strategy in today’s uncertain world, embracing this self-driving network paradigm enables flexibility, visibility, and consistency in an enterprise’s frontline digital defenses.

For more, read the “In the Wild” report.

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