Deep Learning News and Research

RSS

Advancing Drug Safety Assessment With AI, Predictive Modeling, and Human-Relevant Data

James McDonagh discusses how AI and machine learning are transforming drug discovery and safety assessment, enhancing toxicology and decision-making processes.

27 Jul 2026

New model holds promise as a non-invasive, low-cost tool for MAFLD screening

Metabolic dysfunction-associated fatty liver disease (MAFLD) represents a predominant cause of chronic liver disease, underscoring the demand for accessible, non-invasive diagnostic tools.

23 Jul 2026

Researchers link genome folding to gene activity and brain tissue organization in Alzheimer's

Researchers from Carnegie Mellon University's School of Computer Science, the University of Pittsburgh School of Medicine and the University of Washington shed new light on Alzheimer's disease that could point to new directions for treatment.

23 Jul 2026

Machine learning redefines precision cancer therapy using smart radiopharmaceuticals

JMIR Publications released a feature News and Perspectives story on technological advances in oncology.

11 Jul 2026

Machine learning framework enables low-cost water toxin detection

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during harmful algal blooms in freshwater.

11 Jul 2026

New artificial intelligence model reveals invisible multiple sclerosis lesions

One of the uncomfortable truths about multiple sclerosis is that the part of the brain likely to reveal the most about the disease and how a patient will be impacted has been mostly invisible to clinicians.

7 Jul 2026

New AI framework outperforms conventional biomarkers in predicting cancer survival

Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden. Although immune checkpoint inhibitors have changed the treatment landscape for some patients, their overall efficacy remains limited, with only about 15% to 30% of patients achieving durable clinical benefit.

1 Jul 2026

Advancing 3D imaging, automation, and phenotypic discovery with AI-driven high-content screening

Discover how AI-driven high-content screening improves 3D imaging, segmentation, and automation.

From Molecular Devices UK Ltd 29 Jun 2026

Artificial intelligence improves prediction of cancer drug resistance

A comprehensive review recently published in Current Molecular Pharmacology (2026, Volume 19, Pages 85–96) examines the rapidly evolving landscape of computational tools for predicting tumour drug resistance.

26 Jun 2026

Artificial intelligence improves diagnostic accuracy in clinical breast pathology

Artificial intelligence (AI) is increasingly reshaping diagnostic pathology, with breast pathology representing one of the most advanced and clinically impactful areas of adoption.

26 Jun 2026

New diagnostic platform enables automated HER2 scoring of breast cancer tissue samples

Researchers at the University of California, Los Angeles have developed a compact, cost-effective diagnostic platform combining lensfree holography and deep learning for automated HER2 scoring of breast cancer tissue samples.

25 Jun 2026

AI image-based risk scores enable dynamic breast cancer assessment

Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening mammograms evolve over time and differ between women who develop cancer and those who do not, opening the door to a new era of dynamic breast cancer risk assessment.

23 Jun 2026

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

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

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

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

Deep learning framework improves vascular cognitive impairment diagnosis

Subcortical ischemic vascular disease (SIVD), driven by cerebral small vessel disease, is commonly characterized by white matter hyperintensities and multiple lacunar infarcts, and a substantial proportion of patients gradually develop cognitive decline and progress to subcortical vascular cognitive impairment (SVCI).

9 Jun 2026

AI predicts meningioma recurrence from routine pathology slides

Mayo Clinic researchers and collaborators have shown that artificial intelligence (AI) can analyze routine pathology slides to help classify meningiomas, the most common primary brain tumor in adults, and predict a patient's risk of tumor recurrence.

7 Jun 2026

AI turns everyday smartphone use into passive heart-rate tracking

Researchers developed Passive Heart-Rate Monitoring, a deep-learning smartphone system that estimates heart rate and daily resting heart rate from eight-second facial videos captured during normal phone use. Validated on more than 160,000 videos, the system met accuracy targets across skin-tone groups, although usable measurement rates were lower in the darkest skin-tone group and clinical use still requires further testing.

2 Jun 2026