all AI news
New methods for drug synergy prediction
April 4, 2024, 4:41 a.m. | Fatemeh Abbasi, Juho Rousu
cs.LG updates on arXiv.org arxiv.org
Abstract: In this mini-review, we explore the new prediction methods for drug combination synergy relying on high-throughput combinatorial screens. The fast progress of the field is witnessed in the more than thirty original machine learning methods published since 2021, a clear majority of them based on deep learning techniques. We aim to put these papers under a unifying lens by highlighting the core technologies, the data sources, the input data types and synergy scores used in …
abstract arxiv clear combination cs.ai cs.lg deep learning deep learning techniques explore machine machine learning prediction progress q-bio.qm review synergy them type
More from arxiv.org / cs.LG updates on arXiv.org
Efficient Data-Driven MPC for Demand Response of Commercial Buildings
2 days, 23 hours ago |
arxiv.org
Testing the Segment Anything Model on radiology data
2 days, 23 hours ago |
arxiv.org
Calorimeter shower superresolution
2 days, 23 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US