In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

The integration of bioinformatics and medical imaging, often referred to as radiogenomics, has emerged as a powerful and transformative approach in cancer ...

Abstract: Brain disorder prediction can be enhanced by models that capture not only imaging phenotypes but also their underlying molecular context. Neuroimaging provides detailed structural and ...

Scientists at the University of Warwick and University of Exeter have developed a fully fiber-coupled terahertz (THz) imaging system that significantly improves the speed, resolution, and clinical ...

An IAEA-initiated commission – the first comprehensive global assessment of medical imaging-related needs and resources across the globe – has provided an impetus for a recent World Health Assembly ...

The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

The single-cell genomics industry does not stop advancing, with a steady stream of new companies, kits, acquisitions, and more. One new company, ArgenTag, was founded in Argentina during the COVID-19 ...

Key findings presented at the Keystone Symposia on Obesity Therapeutics insitro, the AI therapeutics company built on causal biology, today reported research demonstrating that artificial intelligence ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

AI can be used to produce clinically meaningful radiology reports using medical images like chest x-rays. Medical image report generation can reduce reporting burden while improving workflow ...