Artificial Intelligence

Artificial intelligence, or AI, is an umbrella term for machine learning and deep learning. It is where a machine takes in information from its surroundings and, from that, makes the most optimal decision appropriate to the situation.

AI in Food: How Artificial Intelligence is Designing Healthier and More Sustainable Foods

Artificial intelligence is transforming food innovation by accelerating ingredient discovery, optimizing formulations, and enabling personalized nutrition strategies to improve public health outcomes. AI-driven tools also support food safety assessment, sustainable food systems, and precision nutrition while raising important governance, equity, and validation challenges.

Managing the Explosion of Healthcare Data to Harness its Power

Beyond Virtual Consultations: The Rise of AI-Driven Virtual Healthcare Assistants

The Pros and Cons of Healthcare Chatbots

Artificial Intelligence in Cardiology

How Artificial Intelligence Is Revolutionizing Emergency Medicine

Uncovering the Mystery of the Human Brain with Computational Neuroscience

Ethical Considerations in AI-Driven Healthcare

Artificial Intelligence and Deep Learning in Medicine

Recent Developments in Health Technology

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

See more featured articles »

Machine Learning in Drug Development

The Role of AI in Pathogen Detection and Epidemic Prediction

What does ChatGPT mean for Healthcare?

Deep-Learning in Radiology

AI-Powered Genomic Analysis: Revolutionizing the Detection of Genetic Mutations

Applying Deep Learning to Localization Microscopy

Artificial Intelligence and Life Science

Is Data at the Center of Healthcare for the Future?

Artificial Intelligence in Histopathology

The Medical Industries That Are Most Likely to Be Impacted by Ai

Artificial Intelligence in CBT

Latest Artificial Intelligence News and Research

New AI system reduces pathologist workload while maintaining diagnostic accuracy

Artificial intelligence could make cancer diagnosis safer and fairer by learning when to defer to human pathologists without overloading them, according to researchers from the University of Surrey and Monash University.

13 Mar 2026

Using machine learning to identify individuals at risk for intimate partner violence

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence (IPV) using information from their electronic medical records (EMRs).

13 Mar 2026

Imaris 11 transforms image analysis with automated workflows and reproducible research tools

Discover how Imaris 11 streamlines image analysis with automated workflows, reproducibility tools, and powerful batch processing.

From Oxford Instruments 13 Mar 2026

Review examines clinical trial phases in drug development

Announcing a new article publication for BIO Integration journal. Clinical trials bridge basic research and clinical application, serving as essential steps in drug development.

13 Mar 2026

Cambridge study calls for tighter regulation of talking AI toys for children

AI-powered toys that "talk" with young children should be more tightly regulated and carry new safety kitemarks, according to a report that warns they are not always developed with children's psychological safety in mind.

13 Mar 2026

Blood protein structure changes may enable earlier detection of Alzheimer’s

Advanced proteomics and AI reveal blood protein changes, offering insights into early Alzheimer's detection and differentiation from mild cognitive impairment.

13 Mar 2026

Cambridge’s LED breakthrough reinvents drug synthesis

Scientists at the University of Cambridge have developed a new way to alter complex drug molecules using light rather than toxic chemicals – a discovery that could accelerate and improve how medicines are designed and made.

13 Mar 2026

New AI tool aims to ease prostate cancer diagnostic workload

Increasing use of blood tests to detect prostate cancer is leading to overworked doctors. NTNU has now created an AI diagnostic tool that can help lighten the burden.

12 Mar 2026

AI model improves fairness and speed in disaster aid delivery

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial.

12 Mar 2026

Google’s AI medical assistant shows doctor-level diagnostic reasoning in real clinic study

A prospective feasibility study in an urgent care clinic tested a conversational AI system (AMIE) with 100 real patients to evaluate whether it could safely collect medical histories before doctor visits. The supervised AI showed no safety stops, produced diagnostic reasoning comparable to clinicians in blinded reviews, and improved patients’ attitudes toward medical AI.

12 Mar 2026

AI-generated meal plans for teens often lack essential nutrients and calories

Many teens dealing with weight issues are turning to AI models to help them create meal plans with the aim of losing weight.

12 Mar 2026

Review explores how generative AI could support precision oncology decision-making

A narrative review examines how generative AI tools such as large language models and vision-language models could assist precision oncology by interpreting genomic data, matching patients to clinical trials, and synthesizing complex clinical information. The authors emphasize governance, human oversight, and retrieval-based safeguards to ensure these systems are deployed safely in cancer care.

11 Mar 2026

Electrical stimulation restores movement and sensory feedback after severe spinal injury

The effects of spinal cord injuries are complex and multifaceted. People lose not only the ability to control the movement of their limbs, but also the ability to receive sensory feedback from them. Both are critical to generate the coordinated movement involved in walking.

11 Mar 2026

The social and legal costs of ignoring AI diagnostics

Artificial intelligence (AI) is changing the field and practice of medicine, including legal liability and the perception of who is at fault when a patient experiences harm.

11 Mar 2026

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