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.

Artificial Intelligence and Life Science

The Role of AI in Pathogen Detection and Epidemic Prediction

Artificial Intelligence and Deep Learning in Medicine

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

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

Uncovering the Mystery of the Human Brain with Computational Neuroscience

Ethical Considerations in AI-Driven Healthcare

Artificial Intelligence in CBT

Artificial Intelligence in Cardiology

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

Machine Learning in Drug Development

See more featured articles »

Artificial Intelligence in Histopathology

The Pros and Cons of Healthcare Chatbots

How Artificial Intelligence Is Revolutionizing Emergency Medicine

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

Applying Deep Learning to Localization Microscopy

What does ChatGPT mean for Healthcare?

Is Data at the Center of Healthcare for the Future?

Recent Developments in Health Technology

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

Managing the Explosion of Healthcare Data to Harness its Power

Deep-Learning in Radiology

Latest Artificial Intelligence News and Research

Life sciences leaders face urgent workforce redesign challenge as AI reshapes productivity, skills and operating models

AI's impact on drug discovery and manufacturing raises critical workforce questions, driving life sciences organizations to rethink skills and leadership.

From Designing the AI-Enabled Life Sciences Workforce Summit Europe 15 Jul 2026

How to connect make and test for faster drug discovery

Discover how connecting make and test workflows can accelerate drug discovery by improving decision-making across the DMTA cycle.

From TTP plc 15 Jul 2026

Building the next generation of DMTA for future-ready drug discovery

Discover how the next generation of DMTA is creating a future-ready drug discovery engine through AI and automation.

From TTP plc 15 Jul 2026

How to overcome purification bottlenecks in modern drug discovery

Learn how to overcome purification bottlenecks in modern drug discovery with advanced purification strategies, streamlined workflows, and automation.

From TTP plc 15 Jul 2026

Unlocking the potential of organoids in modern drug discovery

Explore how organoids are unlocking new possibilities in modern drug discovery by improving disease modelling within DMTA-driven research workflows.

From TTP plc 15 Jul 2026

Reddit exposes menopause symptoms often missing from medical records

Nearly half the world's population experiences menopause, yet many of its emotional, cognitive and social impacts may never be discussed during medical appointments.

14 Jul 2026

Insilico and Bora Pharmaceuticals forge strategic AI-driven drug discovery alliance

Insilico Medicine, a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, today announced a multi-target strategic alliance with Bora Pharmaceuticals Co., Ltd., a global leader in pharmaceutical manufacturing.

14 Jul 2026

Humanoid robots could take on low-risk operating room tasks before assisting surgical teams

A new perspective proposes a staged framework for introducing humanoid robots into operating rooms, beginning with laboratory testing and low-risk perioperative tasks. The authors argue that humanoids could support supplies, equipment, room turnover, and selected nursing functions, but autonomous clinical use remains premature and requires rigorous validation, governance, and human oversight.

14 Jul 2026

AI text analysis reveals hidden mental health signs in emergency call takers and dispatchers

Emergency call takers and dispatchers serve as the invisible frontline of public safety, navigating life-or-death crises over phone lines and radios without ever seeing the outcomes of their efforts.

14 Jul 2026

Directed enzyme evolution and the Nobel Prize: Making enzymes evolve in the lab

Frances Arnold on directed enzyme evolution: random mutation plus smart screening, and why it changed enzyme engineering and industry.

From Pittcon 14 Jul 2026

Unreliable datasets are shaping clinical prediction models

This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.

14 Jul 2026

AI could accelerate commercialization of bio-based chemical manufacturing

The era of "biomanufacturing", in which microbes, not petroleum, produce chemical products, is one step closer. A KAIST research team has analyzed the key challenges limiting the commercialization of biomanufacturing and proposed an AI-driven strategy for industrialization.

13 Jul 2026

AI errors shaped doctors’ judgments despite contradictory evidence

Two experiments involving 223 self-reported physicians found that incorrect AI patient classifications strongly influenced treatment decisions and effectiveness judgments. Even when patient outcomes contradicted the AI, participants struggled to revise their conclusions and, in one experiment, judged a completely ineffective treatment as beneficial.

13 Jul 2026

New approach accurately predicts lung cancer mutations

Scientists have developed a new method for accurately predicting gene changes that cause lung cancer, without the need for slower, more expensive lab techniques.

13 Jul 2026

Global consortium releases AI toolbox to unlock new Alzheimer's treatments

The Consortium for Biomedical Research and Artificial Intelligence in Neurodegeneration (C-BRAIN), a global collaboration of academic researchers, pharmaceutical companies, and philanthropic organizations of which Washington University School of Medicine in St. Louis is a founding member, today launched three open-source AI tools to accelerate research aimed at developing new treatments for Alzheimer's disease and other neurodegenerative diseases.

13 Jul 2026

New benchmark shows AI still misses the human side of mental health care

PsyEval is a new benchmark that tests how large language models perform on mental health knowledge, diagnostic assessment, and emotional support tasks. The study found that leading models can show strong factual recall and fluent responses, but still struggle with empathy, clinical nuance, prompt sensitivity, and safe diagnostic behavior.

12 Jul 2026