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New optical imaging tool allows real-time breast cancer staging

Sentinel lymph node biopsy (SLNB) is critical to breast cancer staging, yet current assessment methods remain heavily dependent on pathology expertise and time-consuming tissue processing.

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

Multimodal AI improves prediction of PIK3CA mutations in breast cancer

Breast cancer is one of the most common malignancies worldwide, and mutations in the PI3K/AKT/mTOR (PAM) signaling pathway are prevalent in its development.

21 Apr 2026

AI model predicts immunotherapy response in lung cancer patients

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer (NSCLC), according to a study presented at the American Association for Cancer Research (AACR) Annual Meeting 2026, held April 17-22.

20 Apr 2026

Proteomics and AI bring earlier risk prediction into sharper focus

This review examines how high-throughput proteomics is expanding precision medicine by improving biomarker discovery, disease prediction, and drug development. It also shows how AI is helping researchers interpret complex proteomic data while highlighting major barriers such as standardization, validation, and clinical translation.

19 Apr 2026

Microplastics lab studies may fail to reflect real-world exposure

Microplastics pose health risks, but lab studies often fail to reflect real-world exposure, highlighting critical gaps in toxicological research methodologies.

14 Apr 2026

Dynamic AI models detect body tipping points to forecast disease before symptoms

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), was written by Lu Wang (Tianjin Medical University), Han Lyu (Beijing Friendship Hospital, Capital Medical University), and Bin Sheng (Shanghai Jiao Tong University).

10 Apr 2026

Dual perspective AI model achieves high accuracy in early lung cancer diagnosis

Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths - around 1.8 million lives lost each year.

7 Apr 2026

Measuring heart fat with AI improves cardiovascular risk prediction

Mayo Clinic research identified a powerful new way to improve the prediction of a patient's long-term cardiovascular disease risk by enhancing a routinely performed imaging test with artificial intelligence (AI).

30 Mar 2026

Chronic colitis reshapes colon stem cells in ways that can accelerate tumour growth

Researchers showed that chronic colitis leaves a long-lasting epigenetic memory in colonic stem cells, persisting for more than 100 days after recovery in mice. This memory is marked by durable AP-1-linked chromatin changes and later amplifies tumour outgrowth after oncogenic mutation.

29 Mar 2026

Healthy thymus gland linked to longer life and immune stability

The thymus is a small organ located in the upper chest that plays a central role in the immune system: it produces T cells - specialized immune cells that recognize and fight pathogens.

26 Mar 2026

Stroke may trigger younger brain patterns in unaffected regions

In a new study published in The Lancet Digital Health, scientists at the USC Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) have discovered that the brains of people who experience severe physical impairment after a stroke may reorganize themselves in unexpected ways, showing signs of "younger" brain structure in undamaged regions as they adapt to injury.

25 Mar 2026

Navigating the moral landscape of pediatric AI surgery

Technological innovation has always driven surgical progress, and AI now represents the next transformative wave. Machine learning models are now being developed to predict surgical risks, assist in diagnosing rare congenital disorders, analyze imaging data, and anticipate postoperative complications. Risk prediction tools have already shifted from traditional statistical methods to more complex machine learning approaches, improving their ability to account for nonlinear interactions.

25 Mar 2026

AI-driven OCT imaging system enables precise wound healing assessment

No matter the size or severity, wounds on human skin are difficult to monitor while they heal. Biopsies disrupt the wound site and are too invasive for routine, repeated monitoring, and most medical imaging devices that could do the job are large, expensive and booked up with more pressing diagnostics.

23 Mar 2026

A healthier thymus predicts longer life and lower cancer and heart disease risk in adults

Imaging-based analysis of over 27,000 adults shows that better thymic health is strongly associated with lower all-cause mortality, reduced lung cancer risk, and improved cardiovascular outcomes. The findings suggest the thymus remains biologically relevant in adulthood, linking immune aging, inflammation, and chronic disease risk, although causality cannot be established.

19 Mar 2026

AlphaFold Database expands with millions of predicted protein complexes

A new collaboration between EMBL's European Bioinformatics Institute (EMBL-EBI), Google DeepMind, NVIDIA, and Seoul National University has made millions of AI-predicted protein complex structures openly available through the AlphaFold Database.

17 Mar 2026

Researchers use multiview deep learning to enhance echocardiogram analysis

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the most commonly used imaging tools employed by physicians to diagnose a variety of heart diseases and conditions.

17 Mar 2026