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Transforming Natural Product Identification through Deep Self-Supervised Learning Language Models
Scientists from the Microsoft Research Lab, Cambridge, have designed a Self-Supervised Neural Network Masked Language Model named BiGCARP to accelerate the identification and classification...
Accelerating Genomic Analysis with GPUs: Meet the Genomics-GPU Benchmark Suite
Genomic analysis plays a vital role in various areas, such as disease detection, drug development, and genetic disease identification. With the exponential growth of...
Harnessing Machine Learning to Expedite the Search for Plants with Antimalarial Properties
Malaria, a parasitic disease transmitted by mosquitoes, poses a grave global health menace. With countless annual cases and the escalating defiance of traditional antimalarial...
AI-Driven Antibiotic Discovery: A Breakthrough in Combating Drug-Resistant Infections
A groundbreaking study conducted by scientists from MIT and McMaster University has unveiled a revolutionary artificial intelligence-based antibiotic that effectively eliminates a specific strain...
Empowering Scientists with MISATO: a Machine Learning Dataset for Structure-based Drug Discovery
Artificial intelligence (AI) has significantly changed the scientific research landscape in recent years, yet structure-based drug development has not been significantly affected. However, a...