SUBJECTS : Artificial Intelligence | Drug Discovery | | Machine Learning | Machine Intelligence | Deep Learnin
LATEST MANUSCRIPTS IN Artificial Intelligence in the Life Sciences
- Mengrui Zhang, Yongkai Chen, Dingyi Yu, Wenxuan Zhong, Jingyi Zhang, Ping Ma. Elucidating dynamic cell lineages and gene networks in time-course single cell differentiation. Artificial intelligence in the life sciences. 2023, 3:
Cited : 0Read More - Florian Störtz, Jeffrey K Mak, Peter Minary. piCRISPR: Physically informed deep learning models for CRISPR/Cas9 off-target cleavage prediction. Artificial intelligence in the life sciences. 2023, 3: NoneCited : 5Read More
- Fabio Urbina, Sean Ekins. The Commoditization of AI for Molecule Design. Artificial intelligence in the life sciences. 2022, 2: Cited : 0Read More
- Thomas Linden, Frank Hanses, Daniel Domingo-Fernández, Lauren Nicole DeLong, Alpha Tom Kodamullil, Jochen Schneider, Maria J G T Vehreschild, Julia Lanznaster, Maria Madeleine Ruethrich, Stefan Borgmann, Martin Hower, Kai Wille, Torsten Feldt, Siegbert Rieg, Bernd Hertenstein, Christoph Wyen, Christoph Roemmele, Jörg Janne Vehreschild, Carolin E M Jakob, Melanie Stecher, Maria Kuzikov, Andrea Zaliani, Holger Fröhlich, . Corrigendum to "Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases"[Artificial Intelligence in Life Sciences] 1(2021), 100020. Artificial intelligence in the life sciences. 2022, 2: 100032Cited : 0Read More
- Arthur C Silva, Joyce V V B Borba, Vinicius M Alves, Steven U S Hall, Nicholas Furnham, Nicole Kleinstreuer, Eugene Muratov, Alexander Tropsha, Carolina Horta Andrade. Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals. Artificial intelligence in the life sciences. 2021, 1: Cited : 10Read More
- Fernando D Prieto-Martínez, Eli Fernández-de Gortari, José L Medina-Franco, L Michel Espinoza-Fonseca. An pipeline for the discovery of multitarget ligands: A case study for epi-polypharmacology based on DNMT1/HDAC2 inhibition. Artificial intelligence in the life sciences. 2021, 1: Cited : 0Read More
- Thomas Linden, Frank Hanses, Daniel Domingo-Fernández, Lauren Nicole DeLong, Alpha Tom Kodamullil, Jochen Schneider, Maria J G T Vehreschild, Julia Lanznaster, Maria Madeleine Ruethrich, Stefan Borgmann, Martin Hower, Kai Wille, Torsten Feldt, Siegbert Rieg, Bernd Hertenstein, Christoph Wyen, Christoph Roemmele, Jörg Janne Vehreschild, Carolin E M Jakob, Melanie Stecher, Maria Kuzikov, Andrea Zaliani, Holger Fröhlich, . Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases. Artificial intelligence in the life sciences. 2021, 1: 100020Cited : 3Read More
