Why do some people experience steeper cognitive decline with age than others? This study links part of that variance to the brain’s myelin-forming cells.

Using longitudinal cognitive data, postmortem white-matter analysis, single-nucleus RNA sequencing, and a mouse model, the authors find that worse cognitive trajectories associate with smaller myelinated axon diameters, thicker myelin, and an accumulation of oligodendrocytes that downregulate the NRF2 pathway. The pathology is not simple myelin loss. It points toward dysfunctional excess myelination and impaired oxidative-stress responses in oligodendrocytes.

Consolidation dominates the conversation in Indian eye care. The numbers tell a different story.

The organised sector still accounts for only 14–16% of market value. The overwhelming majority of care continues to be delivered by independent, standalone practices. Most individual ophthalmologists will never receive a serious acquisition offer.

A multi-center study of 22,328 children with cancer treated between 2005 and 2019 at three major Indian centers (AIIMS and RGCI in Delhi, WIA in Chennai) measured the real geographic cost of accessing specialized care.

The median motorized travel time was 161 minutes. Nearly three-quarters of patients (73.5%) traveled more than 60 minutes to reach treatment. Male children and those with solid tumors were more likely to face prolonged travel.

Medical AI models can leak sensitive patient information through privacy attacks, even when average risk metrics look acceptable. This paper shows that while aggregate membership inference attack success often appears close to random guessing, individual patient-level risks can be extremely high— with some patients facing near-perfect identifiability.

The risks are also disparate: they disproportionately affect underrepresented groups (by race, disease prevalence, or insurance status). Larger models tend to increase these individual and group-level privacy vulnerabilities.

Early-career researchers in clinical fields face a major bottleneck. Generating truly novel and high-quality research hypotheses takes significant time and cognitive effort. This leaves less bandwidth for actually executing studies, running experiments, and translating ideas into published work.

This commentary explores whether large language models can meaningfully support junior researchers by helping them generate fresh clinical research ideas at scale.

India is the “Pharmacy of the World”— not by accident, but by design.

The 1970 Patents Act flipped the script: instead of product patents (owning the molecule), India allowed process patents. Any company could legally manufacture the same drug using a different method — making patented medicines up to 99% cheaper.

PHTI Report (Apr 2026)

AI is rapidly adopted for prior authorization, medical coding & billing — ambient scribes are now standard in large systems.

Google-led multi-agent AI system that acts like a full data-science team. It processes 9k+ participants and millions of hours of wearable signals (HR, sleep, steps, etc.) to discover clinically useful biomarkers.

The Iterative Loop (core engine): Profile data + ground in literature, Parallel statistical + ML exploration, Iterative refinement — GapChecker & Critic agents repeatedly test, critique, and strengthen candidates, Adversarial validation (Critic vs Defender).

Tackling the complexity of cancer with generative models.