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New AI platform tracks cancer treatment responses in tumor organoids

Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have developed a new platform that combines 3D bioprinting, advanced imaging and artificial intelligence to better monitor how cancer responds to treatment.

22 Jun 2026

Using the mathematics of quantum mechanics to improve neuroblastoma outcomes

For a child diagnosed with neuroblastoma-the most common infant cancer, occurring when early nerve cells grow out of control-the path to treatment isn't simple.

22 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

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

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

Blood proteins reveal which aging cells may raise disease risk

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16 Jun 2026

New biomarker predicts gastric cancer outcomes from CT scans

Researchers at the State University of Campinas (UNICAMP) in São Paulo, Brazil, have identified a new biomarker that may help determine the prognosis for patients with gastric cancer, the fifth most common type of cancer worldwide.

16 Jun 2026

Retinal photographs may reveal early Alzheimer's disease risk

Often called "the window to the soul," the eyes may also offer clues about something less poetic but just as important: the health of the brain.

16 Jun 2026

Semaglutide, omega-3s and diet shift epigenetic aging clocks in human studies

A systematic review identified 41 human studies evaluating interventions targeting next-generation DNA methylation-based aging clocks. Pharmaceutical, lifestyle, supplement, clinical, and psychosocial interventions shifted some clock outputs, but these biomarkers remain investigational rather than proven clinical surrogates.

16 Jun 2026

Machine learning identifies natural compound to treat lung disease

A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 signaling cascade with therapeutic potential for idiopathic pulmonary fibrosis (IPF).

16 Jun 2026

AI could help food systems detect pathogens, fraud, and contamination faster

A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from one study in 2012 to 46 in 2023. The review shows that machine learning and deep learning are being studied for pathogen detection, chemical contamination prediction, food fraud screening, outbreak surveillance, and regulatory decision-making, but data gaps, class imbalance, privacy limits, and model interpretability remain major barriers.

15 Jun 2026

Digital brain twin recreates brain activity in a toddler with autism

Researchers developed FEDE, a high-fidelity digital brain twin pipeline that combines MRI-derived anatomy with biophysical modeling to reconstruct brain structure and simulate EEG activity. In a single toddler with autism spectrum disorder, the model closely reproduced recorded brain activity and suggested possible patient-specific alterations in neural noise and excitatory-inhibitory balance.

14 Jun 2026

AI model could improve screening for primary aldosteronism

A study of a new AI model examining 30 years of routine electronic health records (EHR) data could improve screening for primary aldosteronism, a leading cause of high blood pressure that is often unrecognized but increases patients' risk of cardiovascular complications, according to a study being presented Saturday at ENDO 2026, the Endocrine Society's annual meeting in Chicago, Ill.

14 Jun 2026

Saliva biomarkers can directly detect acute sleep deprivation

A research team at the University of Zurich (UZH) has discovered biomarkers of sleep loss in saliva. Acute sleep deprivation can be detected using just a single saliva sample.

12 Jun 2026

AI breakthrough accelerates molecular simulations for drug discovery

A new AI model has become so good at predicting how molecules evolve over time that, in the future, it could speed up the costly and time-consuming process of testing new drugs.

11 Jun 2026

Machine learning model filters out the biological noise in liquid biopsy samples

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to their patients' tumors.

9 Jun 2026

New study frames altered protein modifications as cancer drivers

Cancer has often been explained through mutations in deoxyribonucleic acid (DNA) or changes in ribonucleic acid (RNA), but these layers do not fully explain why tumors with similar genetic profiles can behave differently.

9 Jun 2026

Large study uncovers brain network differences in bipolar disorder

New research from the Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) at the Keck School of Medicine of USC has discovered subtle but widespread differences in the brain's communication networks in people with bipolar disorder, offering new insight into how illness severity and treatment may relate to brain wiring.

9 Jun 2026