Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

Novel embedding-driven AI for adaptable brain control

Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns of brain activity that can be recorded using electroencephalography (EEG).

11 Mar 2026

New review reveals complex polygenic architecture underlying common epilepsies

An insightful mini-review published in Genomic Psychiatry synthesizes the rapidly expanding landscape of molecular genetic research on common epilepsies, assembling evidence from genome-wide association studies, whole-exome sequencing projects, and advanced statistical modeling to illuminate the polygenic architecture that underpins these heterogeneous neurological disorders.

10 Mar 2026

Multi-agent AI systems outperform single models under heavy clinical workloads

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking an important question: How well does AI hold up when the workload gets intense at health system scale?

10 Mar 2026

New review calls for biologically grounded approach to psychiatric diagnosis

A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: psychiatry remains the only major clinical discipline that diagnoses complex illness primarily through conversation and symptom checklists, while fields such as oncology and cardiology long ago embraced laboratory markers, imaging, and molecular profiling.

10 Mar 2026

Single receptor PAR1 controls opposing responses in blood vessels

Researchers at the University of California San Diego have uncovered how a single protein triggers two opposite responses in blood vessels - one inflammatory and one protective.

10 Mar 2026

How social and environmental exposures across life influence mental health risk

Researchers outline how the exposome framework, which captures the totality of environmental exposures across the lifespan, can help explain how non-genetic factors shape mental health risk and resilience. The perspective highlights how integrating environmental, biological, and social data could improve prevention strategies, research models, and personalized mental health care.

10 Mar 2026

Using a smartwatch to detect changes in brain health

Can smartphones or smartwatches help detect early signs of neurological or mental illness? Researchers at the University of Geneva (UNIGE) monitored a group of participants wearing connected devices, and used artificial intelligence to analyze data such as heart rate, physical activity, sleep and air pollution.

10 Mar 2026

LabVantage Solutions introduces LabVantage CORTEX, advancing its LIMS platform for AI-driven laboratory operations

LabVantage Solutions, Inc., a global provider of laboratory informatics solutions and services, today announced the launch of LabVantage CORTEX, a next-generation artificial intelligence (AI), analytics, and automation platform.

From LabVantage Solutions 10 Mar 2026

Mapping the evolution of AI in organelle segmentation

In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby generating masks suitable for quantitative analysis. Robust segmentation is foundational to downstream quantification, including morphological characterization, spatial distribution analysis, temporal trajectory tracking, and the detection of key biological events.

10 Mar 2026

New index provides state-level vulnerability to influenza-like illness

Infectious disease can afflict a population in complex ways. Understanding the varying risks is an equally complex challenge.

9 Mar 2026

Machine learning model predicts chemical reactions to accelerate drug discovery

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine.

9 Mar 2026

AI model flags hidden breast cancers years before diagnosis in routine mammograms

Researchers evaluated four deep learning models using over 112,000 negative screening mammograms from the UK NHS to determine how well artificial intelligence could predict future breast cancers missed during routine screening. The MIT-developed Mirai model performed best, identifying about 27.5% of interval cancers within the top 4% of women flagged as highest risk.

9 Mar 2026

Microbial ecosystems influence success of cancer checkpoint immunotherapy

Immune checkpoint inhibitors targeting PD-1 and PD-L1 have revolutionized cancer therapy, delivering long-term survival benefits in several malignancies.

9 Mar 2026

Preventing postoperative rebleeding in intracerebral hemorrhage surgery

Intracerebral hemorrhage (ICH) is the stroke subtype with the highest mortality and disability rates, and early hematoma evacuation is crucial for improving prognosis.

9 Mar 2026

Redefining the "aging brain" through diverse data

Age is more than just one number. While neuroscientists used to think of cognitive aging as a single trendline, they now realize that vast individual differences require a more predictive and personalized approach. As they uncover more factors that affect cognition over time, they are realizing that modeling the aging brain requires more diverse data than traditionally captured.

9 Mar 2026

Navigating the structural challenges of AI in radiology

Artificial intelligence (AI) has the potential to redefine how radiology is practiced, as well as highlight specific challenges for radiology departments, according to new research from the Journal of the American College of Radiology (JACR).

9 Mar 2026

Can one AI analyze all medical scans? MedVersa shows promise across multiple imaging tasks

esearchers developed MedVersa, a generalist multimodal AI model trained on tens of millions of medical imaging instances to perform diverse radiology tasks within a single framework. The model matched or exceeded specialist AI systems across several benchmarks and produced radiology reports comparable to human reports in many cases while improving reporting efficiency.

8 Mar 2026

Ketone body can strengthen the fitness and antitumor activity of CAR T cells

A naturally occurring byproduct of liver metabolism–the ketone body, β-hydroxybutyrate (BHB)–can strengthen the fitness and antitumor activity of CAR T cells.

6 Mar 2026

Biomimetic smart insole system enables accurate gait monitoring

With the increasing aging population, high incidence of chronic diseases, and the growing number of congenital or acquired foot deformities, lower limb dysfunction and abnormal gait problems are becoming increasingly common, posing a significant threat to public health and quality of life.

6 Mar 2026

Learning strengthens coordination among sensory neurons in the brain

When you get better at a skill-recognizing a familiar face in a crowd, spotting a typo at a glance, or anticipating the next move in a game-sensory neurons in your brain become more coordinated, sharing information rather than acting more independently.

6 Mar 2026