Once the test is suitable for high-throughput techniques, the postdoc or graduate student leading the project will generally spend a few months working directly in the screening core, first with a ...

Discover how the synergy between AI and cell-free systems is driving a new era in biopharma innovation, accelerating drug ...

With the use of deep learning and advanced algorithms, generative AI can promote acceleration in the design and development ...

Brian Fink, Aerotech’s product manager for stages, motors, hexapods and other mechanical devices discusses how to optimise ...

High-throughput screening methods provide efficient measurement of the effects of agents or conditions in biological or chemical assays. These methods often require robotics, imaging and ...

SwiftKV optimizations developed and integrated into vLLM can improve LLM inference throughput by up to 50%, the company said.

Rapid advancements in machine vision and robotics are reshaping production landscapes, fostering competitive advantages ...

Cancer remains one of the most complex diseases, with its diverse molecular profiles and cellular compositions posing ...

Information on tumor mutational status was limited before the development of NGS because traditional Sanger sequencing and ...

The AI in Drug Discovery Market is experiencing substantial expansion, boosted by AI-powered innovations in drug optimization, repurposing, and preclinical testing.Pune, Jan. 13, 2025 (GLOBE NEWSWIRE) ...

Multi-omics integration combines genomics, proteomics, and more, offering a comprehensive view of complex biological systems ...

Researchers from the Manchester Institute of Biotechnology and the Department of Chemistry at The University of Manchester ...