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.

Machine Learning in Drug Development

Artificial Intelligence in Cardiology

Managing the Explosion of Healthcare Data to Harness its Power

Artificial Intelligence in Histopathology

How Artificial Intelligence Is Revolutionizing Emergency Medicine

Uncovering the Mystery of the Human Brain with Computational Neuroscience

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

The Pros and Cons of Healthcare Chatbots

What does ChatGPT mean for Healthcare?

Artificial Intelligence and Life Science

The Role of AI in Pathogen Detection and Epidemic Prediction

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Deep-Learning in Radiology

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

Artificial Intelligence in CBT

Artificial Intelligence and Deep Learning in Medicine

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

Is Data at the Center of Healthcare for the Future?

Recent Developments in Health Technology

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

Applying Deep Learning to Localization Microscopy

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

Ethical Considerations in AI-Driven Healthcare

Latest Artificial Intelligence News and Research

Proteomics-driven multi-omics integration transforms understanding of tumor heterogeneity

A recent review shows that proteomics-driven multi-omics integration reveals tumor heterogeneity and functional regulatory networks beyond genomic information, facilitating the discovery of clinically relevant biomarkers and therapeutic targets.

28 Apr 2026

New AI models quickly find compounds that target Lyme bacteria

Tufts University researchers are using AI and machine learning to more quickly identify potential narrow-spectrum antibiotics to prevent and treat Lyme disease, thanks to a generous gift from an alumnus that sped up their timeline by two to three years.

28 Apr 2026

AI tool estimates biological age from photos to predict cancer outcomes

The Mass General Brigham research team behind FaceAge, an artificial intelligence (AI) tool that can estimate a person's biological age from a single photo, is reporting in a new study that estimating biological age from multiple photos taken over time can provide even more information about how well a person with cancer will do with treatment.

28 Apr 2026

New insights into predicting myeloma drug response

Although patients with the same cancer diagnosis may respond very differently to treatment, clinicians still have limited tools at their disposal to predict who is most likely to benefit or suffer from a particular myeloma therapy.

28 Apr 2026

UC San Diego Health performs first spine surgery on the West Coast using new robotic system

UC San Diego Health is the first health system on the West Coast to perform spine surgery using a new robotic system with advanced imaging and guidance, a major step forward in surgical care.

27 Apr 2026

AI tools can predict ADHD risk years before a formal diagnosis

Attention-deficit/hyperactivity disorder (ADHD) affects millions of children, yet many go years without a diagnosis, missing the chance for early support that can change long-term outcomes even when early signs are present.

27 Apr 2026

New AI tools enhance diagnosis and management of kidney disease

Kidney diseases develop slowly and may not produce any obvious symptoms for a long time. The body can compensate for them so effectively that the patient remains unaware of the problem for years.

25 Apr 2026

Bacterial vesicles emerge as powerful tools against antibiotic resistance

Antibiotic resistance is making bacterial infections harder to treat, demanding new therapeutic strategies. A new review highlights bacterial extracellular vesicles (BEVs) as promising nanoscale tools that can kill pathogens, block infection, enhance vaccines, and deliver drugs.

25 Apr 2026

Brain-Gut Health Initiative supports AI-assisted diagnosis of psychiatric disorders

Psychiatric disorders affect millions worldwide, but their diagnosis still relies on clinical observation instead of standard biological tests.

25 Apr 2026

New AI chatbot uses medical protocols to guide patient care decisions.

A new type of chatbot could reliably help people decide what to do about their symptoms - and do so based on guidance that is both medically sound and easy to understand.

25 Apr 2026

Baby teeth reveal early metal exposure effects on brain

Researchers at the Icahn School of Medicine at Mount Sinai report that early-life exposure to common environmental metals may influence brain development and behavioral health more than a decade later.

25 Apr 2026

New computational protocol accelerates drug discovery for Chagas disease

Researchers at the University of Kent have established a computational protocol that could accelerate the development of more effective treatments for life-threatening parasitic infections such as Chagas disease, by enabling scientists to accurately identify reactions that can result in successful drug candidates without the need for trial and error.

25 Apr 2026

AI-assisted doctors perform better in complex clinical decision making

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex.

24 Apr 2026

Cell squeezing technology offers new breast cancer risk assessment

Researchers at City of Hope, a cancer research and treatment organization, and the University of California, Berkeley, have created a novel microfluidic platform that can assess women's breast cancer risk at the cellular level.

23 Apr 2026

Study explores early autism detection using wearable movement sensors

UCLA Health researchers are seeking to develop a new wearable technology to catch one of the earliest but often overlooked signs of autism and other developmental conditions in infants.

23 Apr 2026

AI model rapidly designs new antibiotic to fight resistant bacteria

Researchers at McMaster University have developed a new generative artificial intelligence (AI) model capable of drastically speeding up drug discovery - and, in early tests, it has already designed a brand-new antibiotic.

23 Apr 2026

Rectal cancer deaths in older millennials are rising rapidly

Rectal cancer deaths among older millennials are accelerating, with growth in mortality far outpacing colon cancer, suggesting primary care doctors should fully investigate early symptoms in patients under age 45, according to a study to be presented at Digestive Disease Week (DDW) 2026.

23 Apr 2026

Researchers receive NIH grant to accelerate Alzheimer's drug discovery efforts

Dr. Damian Young, investigator at Texas Children's Duncan Neurological Research Institute (Duncan NRI) and director of the Center for Drug Discovery at Baylor College of Medicine, along with collaborators has been awarded a $6.7 million grant from the National Institute on Aging (NIA), part of the National Institutes of Health (NIH), to develop new approaches to rapidly identify potential treatments for Alzheimer's disease and related dementias with the goal of accelerating the discovery of new therapies.

23 Apr 2026

Global experts highlight new strategies to target human aging

A new meeting report was published in Volume 18 of Aging-US on April 6, 2026, titled "Toward actionable interventions in human aging (12th ARDD meeting, 2025)."

22 Apr 2026

AI model analyzes single-cell tumor data to predict cancer survival

In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk.

22 Apr 2026