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.

Ethical Considerations in AI-Driven Healthcare

Artificial Intelligence and Deep Learning in Medicine

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

The Role of AI in Pathogen Detection and Epidemic Prediction

Artificial Intelligence and Life Science

Artificial Intelligence in CBT

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

How Artificial Intelligence Is Revolutionizing Emergency Medicine

Uncovering the Mystery of the Human Brain with Computational Neuroscience

Managing the Explosion of Healthcare Data to Harness its Power

Artificial Intelligence in Cardiology

See more featured articles »

Is Data at the Center of Healthcare for the Future?

Artificial Intelligence in Histopathology

What does ChatGPT mean for Healthcare?

Applying Deep Learning to Localization Microscopy

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

Machine Learning in Drug Development

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

Deep-Learning in Radiology

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

Recent Developments in Health Technology

The Pros and Cons of Healthcare Chatbots

Latest Artificial Intelligence News and Research

Neurotechnology offers hope for better anxiety and depression treatments

Technology can contribute to better treatment for people struggling with anxiety and depression, according to researcher Sandra Klonteig.

16 Oct 2026

AI study of 101,000 patients links brown fat to heart and mental health

In a retrospective analysis of PET-CT records from 101,243 patients, researchers found that detectable brown fat was associated with lower prevalence of cardiometabolic and psychiatric conditions, while greater activity, particularly in the axillary region, was linked to more favourable metabolic outcomes. Medication screening identified losartan, which increased brown fat thermogenic activity in laboratory experiments and energy expenditure in mice, although its effects on human brown fat remain unproven.

15 Oct 2026

Mount Sinai wins NIH grant to test community-based hypertension care model in rural Ghana

Researchers at the Icahn School of Medicine at Mount Sinai have received a $3.3 million, five-year grant from the National Heart, Lung, and Blood Institute, part of the National Institutes of Health, to test an innovative community-based primary care model for high blood pressure in rural Ghana.

15 Oct 2026

New paper urges adoption of green AI in healthcare

AI is already widely used in hospitals and medical research. Can a new way of thinking unleash the technology’s green credentials?

15 Oct 2026

New AI project models human behavior to track epidemic spread

A consortium led by the University de Zaragoza, with the participation of Universidad Carlos III de Madrid (UC3M), has been selected in the 2026 Health Research Call by the "la Caixa" Foundation—one of the most competitive biomedical research funding calls in Spain and Portugal.

15 Oct 2026

INmune Bio Inc. and Quantum Computing Inc. partner to apply quantum optimization and AI to advance Alzheimer’s drug research and explore new applications for XPro

INmune Bio Inc. and Quantum Computing Inc. today announced a collaboration to apply quantum computing, artificial intelligence (AI) and data analytics to identify new potential applications for XPro (XPro1595), INmune Bio's investigational treatment for Alzheimer's disease and other disease conditions.

From INmune Bio 15 Oct 2026

AI detects daily stress by analyzing routine smartphone behaviors

Clues to stress can be hidden in everyday habits such as chatting, searching, and making payments on a smartphone.

14 Oct 2026

Precise brain circuit targeting may improve depression treatment outcomes

Stimulation of specific brain connections was associated with sustained improvement in people receiving deep brain stimulation (DBS) for treatment-resistant depression, Mount Sinai researchers reported.

14 Oct 2026

Human accountability remains essential as healthcare adopts AI

With artificial intelligence making deep inroads into healthcare, two top doctors are urging physicians to embrace the technology but to remember that only humans can serve the best interest of individual patients.

14 Oct 2026

New project receives $2.3 million to develop a database and AI model to identify therapeutic peptides

A group of scientists led by Joseph Brown, assistant professor at the Leslie Dan Faculty of Pharmacy, has received $2.3 million USD in funding to develop a database and AI training model to identify peptides with therapeutic potential.

14 Oct 2026

Novel gene rejuvenation therapy preserves cell identity while reversing age

Every organ and tissue progressively loses function and integrity as it ages. In fact, researchers have identified "hallmarks of aging" that not only present specific processes impacted by age, but are also thought of as levers that, if successfully targeted, could help turn back the aging clock and result in tissue rejuvenation.

14 Oct 2026

Common blood pressure drug boosts brown adipose tissue activity and metabolism

Scientists have discovered that the drug losartan, commonly prescribed for high blood pressure, boosts brown adipose tissue activity in mice, enhancing their metabolism.

14 Oct 2026

New AI tool distinguishes Ewing sarcoma with high accuracy

A team from the Universitat Politècnica de València (UPV) and the University of Valencia (UV) has developed and validated an artificial intelligence (AI) system capable of distinguishing Ewing sarcoma from other morphologically similar tumours with high accuracy.

13 Oct 2026

New AI tool detects early psychosis risk in youth speech

Nanyang Technological University, Singapore (NTU Singapore) and the Institute of Mental Health (IMH) have developed a novel artificial intelligence (AI) framework capable of identifying youths at high risk of psychosis - a severe mental health condition that typically emerges in adolescence to early adulthood where a person may experience hallucinations, delusions, and disordered thinking - from short samples of casual, spontaneous speech.

13 Oct 2026

CMAJ analysis urges Canada to pass Safe Social Media Act to protect children

Canada's proposed Safe Social Media Act, which aims to protect children, should be passed, according to an Analysis article in CMAJ (Canadian Medical Association Journal) https://www.cmaj.ca/lookup/doi/10.1503/cmaj.261104.

13 Oct 2026

Experts launch Europe-wide framework to guide AI use in mental health

The first Europe-wide expert working group on Artificial Intelligence in mental health launches today to the ECNP congress in Munich, where the group will host an open discussion, setting out the potential, the problems, and possible directions for AI in psychiatry and neuroscience.

12 Oct 2026

New review highlights expanding potential of therapeutic DNA vaccines

A new review published in Genes & Diseases highlights the expanding potential of DNA-based vaccines as a flexible platform for preventing infectious diseases, treating cancer and strengthening preparedness for future disease outbreaks.

12 Oct 2026

Buck Institute and Georgetown lead effort mapping harmful protein changes before disease begins

A research "super team" co-led by theBuck Institute for Research on Aging and Georgetown University has received an award of up to $51.7 million from the Advanced Research Projects Agency for Health (ARPA-H) to predict how disease-causing proteins misfold before irreversible damage occurs and use those predictions to develop novel diagnostics and treatments.

12 Oct 2026

Machine learning models predict pathogen risk in drinking water

Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public health protection.

12 Oct 2026

Adding a chatbot to specialist care helped young people make sense of cancer risk

In a randomized trial of 106 adolescents and young adults with hereditary cancer predisposition, adding AYA-RISE to a clinic visit improved knowledge of cancer risk before age 30 compared with a clinic visit alone. Researchers observed no increase in distress, but the main analyses did not establish additional benefits for lifetime-risk or screening knowledge.

12 Oct 2026