NextMed Health

Massive thanks to everyone who came together to make NextMed.Health 2025 a magical gathering of innovators and changemakers at the interface of technology healthcare and the human spirit. #NextMedHealth

Pediatricians for the win! Antibodies harvested from the blood of paediatricians are up to 25 times better at protecting against the common respiratory infection RSV than existing antibody therapies, and are now being developed as preventative treatments newscientist.com/article/251607…

. @StanfordMed Scientists Cure Type 1 #Diabetes in Mice Without Insulin or Immune Suppression scitechdaily.com/stanford-scien…

Sleep-driven glymphatic function plays a vital role in clearing toxic proteins, long linked to Alzheimer’s disease. Enhancement of glymphatic function may be a potential therapeutic strategy to slow disease progression. By Paul Dagum @applcognition et al in @Nature nature.com/articles/s4146…

Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial thelancet.com/journals/lance…

Sleep as a diagnostic 💤

Spatial omics are lighting up cancer biology, evolution, the immune response, response to therapy, and will be increasingly used for clinical applications an exceptional new open-access review sciencedirect.com/science/articl… And today AI to get spatial proteomics from a path slide nature.com/articles/s4159… @NatureMedicine

Healthcare has the potential to shift from a place you go to a system that surrounds you. In 2026 and beyond, we’re moving past simply digitizing yesterday’s workflows and into an era of real reinvention- where data, AI, and new care models converge and start to change the operating system of health itself. Here is the arc of the possible as we move from NOW → NEAR → NEXT •Sick Care → Health Care → Self-Health/Health Creation Moving from reacting to disease to actively building capability, literacy, and tools so people can manage more of their health day-to-day. •Episodic → Continuous → Predictive / Preemptive From snapshots to signals: where we catch trajectory shifts early and intervene before “diagnosis day.” •Physical → Virtual → Phygital + Ambient Care Care won’t be confined to the clinic. Hybrid becomes default, and “ambient” care fades into the background—always-on, low-friction, context aware. •One Size Fits All → Personalized → Adaptive (Real-Time) Precision Personalization is step one. The leap is dynamic care plans that adjust in real time—dose, behavior, coaching, follow-up—based on data + context. •Provider → Crowdsourced → Collective Intelligence (Networked Care) Expertise becomes distributed: clinicians + communities + protocols + data networks learning together, not in silos. •Human Cognition → AI-Enhanced → AI + Agentic Orchestrated (Copilot Teams) We’re moving beyond “AI that writes notes” to copilots that coordinate care loops—triage, follow-up, prior auth, scheduling, escalation—freeing humans for judgment, empathy, and trust. •Fee for Service → Fee for Outcome → Fee for Healthspan The long game is aligning incentives around sustained function, prevention, and longevity—shared value for keeping people well. The bottlenecks and challenges won’t be model capability. It’ll be workflow integration, trust, governance, and getting incentives aligned.

PANDA: “pancreatic cancer detection with artificial intelligence.” The tool has analyzed more than 180,000 non-contrast abdominal or chest CTs, helping doctors detect cases of early stage pancreatic cancer. nytimes.com/2026/01/02/wor…

New science points to 4 distinct types of autism: The increase in diagnosis may look staggering, but many experts say it reflects not an epidemic of autism itself but a greater understanding of its many forms — and a society becoming more attuned to recognizing them. wapo.st/4sjc7d2

Former F.D.A. Commissioners Sound Alarm on Plan to Change Vaccine Policy Twelve former commissioners, in a New England Journal of Medicine article, said they were “deeply concerned” by a leaked memo from the agency’s vaccine regulator. nytimes.com/2025/12/03/hea…

Concerns about genAI related to medical education ebm.bmj.com/content/30/6/4…

A self-driving Waymo pulled up to my house this week—and it made me rethink the future of healthcare... & 'self-care'. I’d just gotten off @Waymo's SF Peninsula waitlist, and now, like magic, at the press of a button on my app, my chariot had arrived. It glided to the curb at sunset, my initials “DK” glowing from the roof. As I approached, it already knew it was me... my phone’s Bluetooth triggered the doors to unlock. The price was transparent and upfront. I could compare the cost instantly with Uber, Lyft, even RoboTaxi. (Imagine if healthcare worked that way: clear, simple, upfront pricing instead of today’s opaque, high-friction maze.) Inside, my Spotify Beatles playlist kicked in (I was hoping for “Baby You Can Drive My Car,” but got “Let It Be” :-). And yes—the cabin was already pre-set to 67°, my kids’ beloved “6–7” meme. Then it hit me: What if health(care) could integrate lessons and elements from self-driving cars? Self-driving cars are the embodiment of super-convergence—AI, sensors, robotics, GPS, crowd-sourced mapping, multimodal data from cameras, LiDAR, and traffic systems all fused into one adaptive intelligence. Self-driving cars didn’t appear overnight, and felt like science fiction a mere 20 years ago. They trace back to the DARPA Grand Challenge, where in 2004 no vehicle made it more than a few miles. Just a few years later, Stanford University and Carnegie Mellon teams proved autonomy was possible with enough data, iteration, and learning—laying the groundwork for today’s AVs that navigate complex city & suburban streets with calm precision. What if healthcare evolved the same way? Imagine a healthcare and 'self-health' enabled systems that are: -AI-enabled—with a human in the loop when needed -On-demand—care that comes to you, not the other way around -Aware of your history, context, multi-modal data, and preferences -Transparent—pricing and expectations upfront -Personalized—from care plans to communication styles -Continuously learning from millions of anonymized, real-world data points -Adaptive—rerouting based on labs, behavior, and environment -Safer and more consistent than the “average” human-driven experience (leading to lower costs, fewer “accidents,” & improved access + equity.) -Always alert, always available Autonomous vehicles are solving mobility with real-time, adaptive navigation. Healthcare needs its equivalent: a system that continuously guides our wellbeing—personalized, context-aware, and always optimizing the next best steps on our health journey. If a car can integrate this level of intelligence… imagine what happens when healthcare finally connects the same dots. Which part of the self-driving experience—personalization, real-time adaptation, transparent pricing, or continuous guidance would you most want healthcare to adopt first?

This is an incredible/remarkable advance in rapid testing for 14 pathogens, in a single test, from a single swab. Now, you can answer the question, "What do I have" w/ greater clarity...at same cost as single target test. A game changer. H/t @Measie_ @BrusJulian for charging ahead w/ innovation to save lives.

A growing body of research has shown that vaccines can reduce the risk of certain cancers, as well as of developing dementia and heart conditions. Since the introduction of the HPV vaccine about two decades ago, rates of HPV infection, early signs of precancer & cervical cancer have fallen. Being vaccinated against shingles is linked to lower risk of dementia and heart disease. washingtonpost.com/health/2025/11…

@aryanXmahajan LINDY

Gemini 3.0 + Lindy + Perplexity = AI Content Infrastructure that generated 30M views last quarter... This 3-agent system replaces entire content teams automatically using AI strategist + producer + analyst architecture... → No more $15K-$30K monthly payroll for 4-person content teams → No more 20+ hours weekly spent planning content calendars manually → No more creative bottlenecks killing your posting velocity → No more analysts tracking metrics in 10 different spreadsheets Just 3 AI agents → autonomous content infrastructure that runs 24/7. Here's how it works: → Strategy Agent (monitors trends, identifies angles, builds calendars automatically) → Production Agent (generates platform-native posts, maintains brand voice across 1000+ posts) → Analysis Agent (tracks engagement, identifies patterns, optimizes continuously) → Multi-Platform Publishing (LinkedIn + Twitter content deployed simultaneously) → Performance Loop System (learns what works, compounds results weekly) Built with Fortune 500 content velocity. Runs 24/7 without creative bottlenecks. Zero payroll overhead. Enterprise quality. Results from deployments: • 30M+ organic views generated • $500K+ in qualified pipeline revenue • 25 posts weekly (up from 5 posts with manual teams) • One creator: $20K writer team → $500 AI infrastructure Want the complete system? Like + comment "LINDY" + repost, and I'll DM it to you. (must be following)

The first clinical trial of a gene therapy infusion for hemophilia B brought unexpected insights—marking a turning point for genetic medicine. Read the Nature Medicine essay: ow.ly/ugC450XvVrR #GeneTherapy #HemophiliaB #TurningPoint #NatureMedicine

An incredible new and impactful approach to treating many rare genetic diseases Prime editing-mediated readthrough of premature termination codons (PERT) From @davidrliu et al

“I had hemophilia for nearly five decades. I went to Philadelphia and had a 45-minute infusion, and my hemophilia was gone.” Genes-> Medicine @NatureMedicine nature.com/articles/s4159…

Empathetic, Available, Cheap: When A.I. Offers What Doctors Don’t Frustrated by the medical system, some patients are turning to chatbots for help. At what cost? nytimes.com/2025/11/16/wel…