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.

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

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

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

Ethical Considerations in AI-Driven Healthcare

Is Data at the Center of Healthcare for the Future?

Recent Developments in Health Technology

Deep-Learning in Radiology

Machine Learning in Drug Development

Applying Deep Learning to Localization Microscopy

The Pros and Cons of Healthcare Chatbots

How Artificial Intelligence Is Revolutionizing Emergency Medicine

See more featured articles »

Artificial Intelligence in Cardiology

Artificial Intelligence and Deep Learning in Medicine

Artificial Intelligence in Histopathology

Artificial Intelligence and Life Science

Artificial Intelligence in CBT

The Role of AI in Pathogen Detection and Epidemic Prediction

Uncovering the Mystery of the Human Brain with Computational Neuroscience

What does ChatGPT mean for Healthcare?

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

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

Managing the Explosion of Healthcare Data to Harness its Power

Latest Artificial Intelligence News and Research

Review outlines how donor imaging improves liver transplantation outcomes

Liver transplantation often depends on decisions made under pressure. In deceased donation, teams must quickly judge whether a liver is suitable, whether fat accumulation could threaten graft function, and whether unexpected vascular anatomy may complicate procurement or implantation.

22 Jun 2026

New chemistry database helps speed up global drug discovery

Developing new medicines can require thousands of chemistry experiments to identify the right recipe for a safe, effective and ideally affordable drug.

22 Jun 2026

Australian research uncovers how the brain manages unexpected sensory surprises

Australian researchers have uncovered what happens behind the scenes in our brain when we're faced with a predictable situation versus a surprise, giving vital clues in a long-standing mystery in neuroscience.

22 Jun 2026

Researchers advocate local data strategies for early cancer detection

Researchers are calling for the application of locally driven strategies, supported by stronger regional evidence, to improve early cancer detection and precise care.

22 Jun 2026

Autonomous medical AI outperforms doctors in simulated EHR cases

MIRA, an autonomous AI agent tested in a sandboxed electronic health record, diagnosed 574 real emergency department cases with 88.9% accuracy and outperformed physicians in a matched 311-case comparison. The system ordered tests, generated medication plans, and made admission decisions in simulation, but the authors stress that prospective validation, governance, and physician oversight are still essential.

21 Jun 2026

Bogotá’s strictest COVID restrictions delivered the clearest air-quality gains

A natural quasi-experiment in Suba, Bogotá, found that more stringent COVID-19 mobility restrictions were associated with larger reductions in PM₁₀ and PM₂.₅ air pollution. The findings suggest targeted traffic and emissions controls could improve urban air quality, although ozone responses were more complex, and the results may not generalize beyond this high-traffic district.

21 Jun 2026

Google’s AMIE beats doctors on key simulated disease-management tasks

Google’s AMIE research AI matched primary care physicians overall in simulated, multi-visit disease-management reasoning and scored higher on several measures of plan appropriateness, treatment precision, investigation precision, and guideline alignment. The study highlights the promise of conversational AI for longitudinal care, while emphasizing that AMIE is not ready for clinical use and still needs prospective real-world testing.

21 Jun 2026

Synthetic gut communities reveal how diet rewires the microbiome

Synthetic microbial communities give researchers controlled models for testing how diet reshapes gut microbial ecology, metabolism, and host-relevant responses. The review highlights how SynComs can strengthen causal inference, improve intervention testing, and support future precision nutrition, while noting major challenges in stability, standardization, and ecological realism.

21 Jun 2026

Accelerating drug discovery through AI, automation, and next-generation DMTA

Discover how AI, automation, and next-generation DMTA workflows are accelerating drug discovery with expert insights from TTP leaders.

From TTP plc 19 Jun 2026

AI imaging technique detects early endometrial cancer with high accuracy

Endometrial cancer is the most common gynecologic cancer, with more than 69,000 cases diagnosed in the U.S. in 2025 and increasing up to 3% annually.

18 Jun 2026

Scientists design artificial protein structures using advanced AI tools

An international research team led by a Korean scientist has succeeded in designing large-scale protein structures that faithfully replicate the self-assembly principles found in naturally occurring viruses, using artificial intelligence (AI).

18 Jun 2026

PMOS rethink reframes a common hormone disorder as a whole-body disease

A new review reframes PCOS, now proposed as PMOS, as a systemic endocrine and metabolic disorder shaped by genetic, epigenetic, ovarian, metabolic, and neuroendocrine pathways. It highlights why inconsistent diagnosis and symptom-focused care have limited progress, while targeted therapies, biomarkers, machine learning, and organ-on-chip models may support more personalized treatment.

18 Jun 2026

New biological age tools could reveal health risks before symptoms appear

A JCI review traces biological age measurement from functional tests and blood biomarkers to epigenetic, proteomic, imaging, wearable, and AI-based clocks. It finds that these tools can improve risk prediction beyond chronological age, but standardization, interpretability, and prospective validation are needed before routine clinical use.

18 Jun 2026

Deep learning identifies novel compounds against antibiotic-resistant gonorrhea

With tens of millions of annual cases, gonorrhea is the second most frequently reported sexually transmitted infection (STI). Alone in the U.S., over 600,000 cases are reported each year.

17 Jun 2026

AI diagnostic errors raise hospital blame unless doctors stay deeply involved

A two-study vignette experiment found that people attributed more responsibility to hospitals and were more likely to consider filing a complaint or taking legal action when missed diagnoses involved AI rather than a physician alone. Interactive physician involvement reduced negative reactions, while autonomous or sequential AI-human collaboration did not meaningfully improve responses compared with AI-only diagnosis.

17 Jun 2026

AI-designed drug for Parkinson's begins first human trial

Insilico Medicine ("Insilico", HKEX: 3696), a clinical-stage biotechnology company powered by generative artificial intelligence (AI), today announced it has achieved the first clinical milestone in its co-development collaboration with Hygtia Therapeutics with the completion of first-in-human dosing in the Phase I study of ISM8969.

17 Jun 2026