5don MSN
Parallel microdevice with AI-powered single-cell analysis enables rapid, high-throughput delivery
Many applications—from drug discovery and diagnostics to cell engineering and gene modulation—require delivering biomolecules ...
Advancements in Interoperability: Achieving Anatomic Pathology Reports That Adhere to International Standards and Are Both Human-Readable and Readily Computable The imaging cohort consisted of ...
Completed phase 1a dose escalation study of the first oral ENPP1 inhibitor RBS2418 immunotherapy in subjects with metastatic solid tumors. SECN-15: A novel treatment option for patients with ...
Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
Deep transfer learning methodologies reveal hidden heterogeneity in β-cells driven by type 2 diabetes and obesity.
Background: Porcine genome editing has revolutionized xenotransplantation, recently enabling the first pig-to-human heart xenotransplants. However, the xeno-immune response in heart xenografts remains ...
7don MSN
Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication
Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will ...
Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...
A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.
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