Artificial intelligence-driven design of next-generation nanomedicine: transforming precision healthcare.

Machine Learning-Based single-cell characterization of lipid metabolic reprogramming in prostate cancer.

Prostate cancer (PCa) is one of the most prevalent malignancies in men worldwide, and metabolic reprogramming particularly of lipid metabolism plays a pivotal role in its initiation and progression. L...

Causal counterfactual simulation for treatment decisions in multimodal lung disease data.

While deep learning has advanced the automated diagnosis of pulmonary diseases from chest X-rays, transitioning these models to treatment optimisation is fundamentally hindered by the reliance on bias...

Tissue-reactive zonation of mesenchymal-like phenotypes in human glioblastoma.

BACKGROUND: Glioblastoma is the deadliest brain cancer, characterized by large cellular diversity. Both neurodevelopment-like and mesenchymal-like cell states have been described, with the latter bein...

Long-term outcomes of obstructive hypertrophic cardiomyopathy undergoing surgical myectomy: impact of symptom severity at presentation.

Surgical myectomy (SM), performed to relieve dynamic left ventricular outflow tract obstruction in symptomatic obstructive hypertrophic cardiomyopathy (oHCM) patients, provides improved quality of lif...

A unified multi-task framework enables interpretable chest radiograph analysis.

BACKGROUND: While multimodal deep learning has advanced medical imaging analysis, existing black-box systems may remain confined to isolated tasks, often overlooking the trust-sensitive nature of clin...

Machine learning and AI for cancer research and care: a review of applications, limitations, and future directions.

Machine learning (ML) is transforming cancer research and care by enabling analysis of complex, high-dimensional datasets spanning genomics, transcriptomics, proteomics, imaging, and clinical records....

The 2025 Westlake Autumn Symposium for AI Proteomics and Virtual Cell.

Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors.

UNLABELLED: Gastrointestinal stromal tumor (GIST) is the most common gastrointestinal mesenchymal tumor, driven by tyrosine-protein kinase (KIT) and platelet-derived growth factor receptor A (PDGFRA) ...

Deep learning-based automated identification of papillary bladder cancer from endoscopic still images using SE-ResNeXt-50.

Bladder cancer remains a major global health challenge, necessitating rigorous endoscopic surveillance and the precise identification of neoplastic lesions. While the detection of overt tumors is rout...

AI-driven therapeutic antisense oligonucleotide for processing-deficient progeroid laminopathies.

BACKGROUND: Progeroid laminopathies (PLs), including Hutchinson-Gilford progeria syndrome (HGPS), are rare premature aging disorders in which cardiovascular complications drive early mortality. Antise...

Enriching Clinical Trials With Machine Learning.

JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, spoke with Joseph Geraci, PhD, a professor of molecular medicine and pathology at Queen’s University, about applying machine learning methods to plan more...

The prediction paradox: Artificial intelligence, genetics, and occult metastasis in thyroid cancer.

Generative AI-Assisted Discovery of HPK1 Inhibitors.

Generative artificial intelligence (AI) is now widely applied in medicinal chemistry, with detailed case studies emerging in the literature. Here, we describe an early application of REINVENT, AstraZe...

Development and Validation of a Natural Language Processing Algorithm to Identify Social Isolation in Older Surgical Patients.

BACKGROUND: Social isolation is increasingly prevalent among older adults and is associated with adverse health outcomes, yet its impact in surgical populations remains poorly defined. Lack of systema...

Assessing Different Machine Learning Algorithms to Identify Traumatic Cardiac Arrest.

OBJECTIVE: Traumatic cardiac arrest differs from non-traumatic regarding epidemiology. This study evaluated five machine learning classifiers' ability to identify traumatic cardiac arrest in the Danis...

Natural Language Processing to Predict Deep Brain Stimulation Outcomes in Parkinson's Disease.

Objectives The Unified Parkinson's Disease Rating Scale (UPDRS Part III), is often not obtained post-operatively in routine clinical practice, limiting objective assessment of treatment response follo...

The Allosteric Revolution: From Fundamental Biology to Breakthrough Allosteric Drug Discovery.

The rapid emergence of breakthrough allosteric drugs, together with increasing emphasis on the molecular mechanisms of disease, underscores the critical importance of understanding biological processe...

Adjuvant Nivolumab vs Observation in Resected Non-Small Cell Lung Cancer: A Randomized Clinical Trial.

IMPORTANCE: Preoperative and perioperative nivolumab improve event-free survival in resectable non-small cell lung cancer. The role of adjuvant nivolumab after upfront surgery is unknown. OBJECTIVE: T...

Artificial intelligence-augmented organ- and organoid-on-a-chip for drug screening.

Organ- and organoid-on-a-chip technologies provide critical human-relevant models for drug screening. Despite their promise, translating their complex biological outputs into reproducible, quantifiabl...