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Stanford AI Experts Predict What Will Happen in 2026

After years of fast expansion and billion-dollar bets, 2026 may mark the moment artificial intelligence confronts its actual utility. In their predictions for the next year, Stanford faculty across computer science, medicine, law, and economics converge on a striking theme: The era of AI evangelism is giving way to an era of AI evaluation. Whether it’s standardized benchmarks for legal reasoning, real-time dashboards tracking labor displacement, or clinical frameworks for vetting the flood of medical AI startups, the coming year demands rigor over hype. The question is no longer “Can AI do this?” but “How well, at what cost, and for whom?”

Learn more about what Stanford HAI faculty expect in the new year.

Increasing Postpartum Use of GLP-1 Receptor Agonists

Postpartum prescription of GLP-1RAs in Denmark increased between 2018 and 2024, with semaglutide accounting for most prescriptions since 2023.

Most users had overweight or obesity, and only 23% had a diabetes diagnosis, suggesting weight reduction as the main reason for use.


This study uses data from the Danish Medical Birth Register to examine postpartum use of glucagon-like peptide 1 receptor agonists.

Control of aging-associated neurodegeneration via hypothalamic extracellular vesicles containing parathymosin

Jung, Yu, Choi et al. reveal a critical neuroprotective role of PTMS, while loss of this protein causes severe neurodegeneration. Hypothalamic neural stem cell-derived extracellular vesicles carrying PTMS protect neurons by preventing DNA damage and offer therapeutic benefits against aging-related neurodegenerative and Alzheimer’s-like conditions in animal models.

Prediabetes rates soar among children with overweight as maternal weight rises

The prevalence of prediabetes has increased significantly in recent years among Finnish children living with overweight or obesity, a recent study by Tampere University and the University of Eastern Finland shows. In the early 2000s, 11% of those studied had prediabetes, whereas 20 years later, the prevalence of prediabetes was 50%. The prevalence of obesity remained unchanged during the study period, but prediabetes became more common among children, which could, in part, be due to a simultaneous increase in maternal overweight.

The study, published in the International Journal of Obesity, included 602 children aged 6 to 16 who had been assessed for overweight or obesity in primary health care or specialized health care in Tampere between 2002 and 2020. The study also included a control group of 483 children aged 7–16, which had been drawn from the Physical Activity and Nutrition in Children (PANIC) study, underway at the University of Eastern Finland.

According to the study, 34% of children who had been assessed for overweight or obesity had prediabetes, and 1% had type 2 diabetes. In the control group, 7% had prediabetes, while type 2 diabetes was not observed. Prediabetes was more common in older children and those in more advanced stages of puberty. Its prevalence was also associated with fatty liver disease and acanthosis nigricans, a skin condition often linked to overweight and disturbances in glucose metabolism.

Disappointment alters brain chemistry and behavior

From work meetings to first dates, it’s essential to adjust our behavior for success. In certain situations, it can even be a matter of life or death. So how do we switch our behavior when situations change? Published in Nature Communications, neuroscientists describe the neural basis of behavioral flexibility in mice, with insights which may help us understand a wide variety of diseases and disorders, from addiction to obsessive compulsive disorder (OCD) to Parkinson’s disease.

“The brain mechanisms behind changing behaviors have remained elusive, because adapting to a given scenario is very neurologically complex. It requires interconnected activity across multiple areas of the brain,” explains a co-author. “Previous work has indicated that cholinergic interneurons—brain cells that release a neurotransmitter called acetylcholine—are involved in enabling behavioral flexibility. Here, we were able to use advanced imaging techniques to see neurotransmitter release in real time and delve into the fundamental mechanisms behind behavioral flexibility”

In their investigations, the researchers trained mice in a virtual maze, teaching them the correct route to receive a reward. They then switched the route, leading to an unexpected loss of reward for the mice, and observed the effects of this disappointing change using two-photon microscopy.

Molecular difference in autistic brains may explain signaling imbalance

Yale School of Medicine (YSM) scientists have discovered a molecular difference in the brains of autistic people compared to their neurotypical counterparts.

Autism is a neurodevelopmental condition associated with behavioral differences including difficulties with social interaction, restrictive or intense interests, and repetitive movements or speech. But it’s not clear what makes autistic brains different.

Now, a study in the American Journal of Psychiatry has found that the brains of autistic people have fewer of a specific kind of receptor for glutamate, the most common excitatory neurotransmitter in the brain. The reduced availability of these receptors may be associated with various characteristics linked to autism.

AI-powered knowledge graph links heart images to genes and drug predictions

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in a structured network. Until now, they have lacked detailed, individual-level information about how the affected organ actually looks and functions.

The latest research, led by postdoctoral researcher Dr. Khaled Rjoob and group leader Professor Declan O’Regan from the Computational Cardiac Imaging Group at the MRC Laboratory of Medical Sciences, has advanced this technology by adding imaging data to a knowledge graph for the first time. CardioKG provides a detailed view of the heart’s structure and function which dramatically improves the accuracy of predicting which genes are linked to disease and whether existing drugs could treat them.

The work is published in the journal Nature Cardiovascular Research.

Stiffer colon could signal risk of early-onset colorectal cancer

Increased stiffness of the colon, spurred by chronic inflammation, may encourage the development and progression of early-onset colorectal cancer (CRC), a study co-led by UT Southwestern Medical Center researchers suggests. The findings, published in Advanced Science, could lead to new ways to prevent and treat this deadly subset of CRC.

“We consider this study a significant advancement toward identifying those at risk of early-onset CRC and finding new ways to treat them,” said Emina Huang, M.D., M.B.A., Professor of Surgery in the Division of Colon and Rectal Surgery and Executive Vice Chair of Research for Surgery at UT Southwestern. She is also Professor of Biomedical Engineering and in the Harold C. Simmons Comprehensive Cancer Center.

UT Southwestern partnered with researchers from The University of Texas at Dallas on the study.

Variations of Severely Reduced Myocardial Flow Reserve in PET Myocardial Perfusion Imaging

Severely reduced myocardial flow reserve in cardiac positron emission tomography is a diagnostic challenge. 🫀☢️ This JACCIMG iPIX lays out the full differential—from 3-vessel coronary artery disease to artifacts—to spot the patterns, avoid the pitfalls, and not miss the diagnosis.


The Journal of the American College of Cardiology (JACC) stands as a leading global resource for impactful cardiovascular research, delivering essential peer-reviewed articles and crucial clinical practice guidelines. Gain access to authoritative medical content and vital CME resources designed to advance cardiovascular medicine and improve heart patient outcomes.

Brain immune cells may drive more damage in females than males with Alzheimer’s

More than 7 million Americans have Alzheimer’s disease, and two-thirds of them are women, according to the Alzheimer’s Association. The O’Banion Lab at the Del Monte Institute for Neuroscience at the University of Rochester has long been studying this disease and is looking more closely at the differences between male and female brains.

“It is well documented that males and females are diagnosed with Alzheimer’s disease at different rates,” said M. Kerry O’Banion, MD, Ph.D., professor of Neuroscience and Neurology. “But we still do not have a great understanding of why this is the case. We can only improve any possible treatment or prevention of this disease if we know the why, when, and where these differences are occurring.”

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