Time to reality check the promises of machine learning-powered precision medicine
Jack Wilkinson, Kellyn F Arnold, Eleanor J Murray et al. · The Lancet Digital Health · 2020
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Computer Science
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Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients
JungHo Kong, Heetak Lee, Donghyo Kim et al. · Nature Communications · 2020
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Structure-Based Virtual Screening: From Classical to Artificial Intelligence
Eduardo Habib Bechelane Maia, Letícia Cristina Assis, Tiago Alves de Oliveira et al. · Frontiers in Chemistry · 2020 · Review
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DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations
Ahmet Sureyya Rifaioglu, Esra Nalbat, Volkan Atalay et al. · Chemical Science · 2020
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Open Targets Platform: supporting systematic drug–target identification and prioritisation
David Ochoa, Andrew Hercules, Miguel Carmona et al. · Nucleic Acids Research · 2020
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Investigation of Some Antiviral N-Heterocycles as COVID 19 Drug: Molecular Docking and DFT Calculations
Mohamed Hagar, Hoda A. Ahmed, Ghadah Aljohani et al. · International Journal of Molecular Sciences · 2020
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Realistic precision and accuracy of online experiment platforms, web browsers, and devices
Alexander Anwyl-Irvine, Edwin S. Dalmaijer, Nick Hodges et al. · Behavior Research Methods · 2020
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The misuse of colour in science communication
Fabio Crameri, Grace E. Shephard, Philip J. Heron · Nature Communications · 2020 · Review
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A Profile of the SAIL Databank on the UK Secure Research Platform
Kerina H Jones, David Vincent Ford, Simon Thompson et al. · International Journal of Population Data Science · 2020
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Editorial: In silico Methods for Drug Design and Discovery
Simone Brogi, Teodorico Castro Ramalho, Kamil Kuca et al. · Frontiers in Chemistry · 2020
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State-of-the-art augmented NLP transformer models for direct and single-step retrosynthesis
Igor V. Tetko, Pavel Karpov, Ruud Van Deursen et al. · Nature Communications · 2020
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Corrected Introducing Biomedisa as an open-source online platform for biomedical image segmentation
Philipp D. Lösel, Thomas van de Kamp, Alejandra Jayme et al. · Nature Communications · 2020
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Deep learning in cancer pathology: a new generation of clinical biomarkers
Amelie Echle, Niklas Timon Rindtorff, Titus Josef Brinker et al. · British Journal of Cancer · 2020 · Review
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Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning
Zhigang Song, Shuangmei Zou, Weixun Zhou et al. · Nature Communications · 2020
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A Structure-Based Drug Discovery Paradigm
Maria Batool, Bilal Ahmad, Sangdun Choi · International Journal of Molecular Sciences · 2019 · Review
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A critique of pure learning and what artificial neural networks can learn from animal brains
Anthony M. Zador · Nature Communications · 2019 · Review
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Gorilla in our midst: An online behavioral experiment builder
Alexander L. Anwyl-Irvine, Jessica Massonnié, Adam Flitton et al. · Behavior Research Methods · 2019
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Recommendations for Methodology of Virtual Reality Clinical Trials in Health Care by an International Working Group: Iterative Study
Brandon Birckhead, Carine Khalil, Xiaoyu Liu et al. · JMIR Mental Health · 2019
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Neuroscience of Virtual Reality: From Virtual Exposure to Embodied Medicine
Giuseppe Riva, Brenda K. Wiederhold, Fabrizia Mantovani · Cyberpsychology, Behavior, and Social Networking · 2019 · Meta-analysis
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Fourier ring correlation simplifies image restoration in fluorescence microscopy
Sami Koho, Giorgio Tortarolo, Marco Castello et al. · Nature Communications · 2019
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