Accelerating antibiotic discovery through artificial intelligence MCR Melo, JRMA Maasch, C de la Fuente-Nunez Communications Biology 4 (1), 1-13, 2021 | 170 | 2021 |
Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning JRMA Maasch, MDT Torres, MCR Melo, C de la Fuente-Nunez Cell Host & Microbe 31 (8), 1260-1274. e6, 2023 | 72 | 2023 |
Molecular dynamics for antimicrobial peptide discovery N Palmer, JRMA Maasch, MDT Torres, C de la Fuente-Nunez Infection and Immunity 89 (4), e00703-20, 2021 | 58 | 2021 |
Comparison of multi-parallel qPCR and double-slide Kato-Katz for detection of soil-transmitted helminth infection among children in rural Bangladesh J Benjamin-Chung, N Pilotte, A Ercumen, JR Grant, JRMA Maasch, ... PLOS Neglected Tropical Diseases 14 (4), e0008087, 2020 | 55 | 2020 |
Targeting a highly repeated germline DNA sequence for improved real-time PCR-based detection of Ascaris infection in human stool N Pilotte, JRMA Maasch, AV Easton, E Dahlstrom, TB Nutman, ... PLoS neglected tropical diseases 13 (7), e0007593, 2019 | 46 | 2019 |
What does soil-transmitted helminth elimination look like? Results from a targeted molecular detection survey in Japan M Hasegawa, N Pilotte, M Kikuchi, AR Means, M Papaiakovou, ... Parasites & Vectors 13 (1), 6, 2020 | 27 | 2020 |
Biomedical discovery through the integrative biomedical knowledge hub (iBKH) C Su, Y Hou, M Zhou, S Rajendran, JRMA Maasch, Z Abedi, H Zhang, ... Iscience, 2023 | 21* | 2023 |
Identification of Parkinson’s disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data C Su, Y Hou, J Xu, Z Xu, M Zhou, A Ke, H Li, J Xu, M Brendel, ... npj Digital Medicine 7 (1), 184, 2024 | 8* | 2024 |
Rectal swabs as an alternative sample collection method to bulk stool for the real-time PCR detection of Giardia duodenalis JRMA Maasch, AM Arzika, C Cook, E Lebas, N Pilotte, JR Grant, ... The American journal of tropical medicine and hygiene 103 (3), 1276-1282, 2020 | 8 | 2020 |
Machine Learning for Drug Discovery MCR Melo, JRMA Maasch, C de la Fuente-Nunez American Chemical Society, 2022 | 5 | 2022 |
Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models S Hiremath, JRMA Maasch, M Gao, P Ghosal, K Gan The 38th Conference on Neural Information Processing Systems (NeurIPS), 2024 | 2 | 2024 |
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs J Maasch, W Pan, S Gupta, V Kuleshov, K Gan, F Wang The 40th Conference on Uncertainty in Artificial Intelligence (UAI), 2024 | 2 | 2024 |
Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping. C Su, Y Hou, J Xu, M Brendel, JRMA Maasch, Z Bai, Y Zhu, C Henchcliffe, ... AMIA, 2022 | 2 | 2022 |
Reasoning Elicitation in Language Models via Counterfactual Feedback A Hüyük, X Xu, J Maasch, AV Nori, J González The 13th International Conference on Learning Representations (ICLR), 2024 | | 2024 |
Local Causal Discovery for Structural Evidence of Direct Discrimination J Maasch, K Gan, V Chen, A Orfanoudaki, NJ Akpinar, F Wang The 39th Annual AAAI Conference on Artificial Intelligence, 2024 | | 2024 |
Learning Phenotypic Associations for Parkinson’s Disease with Longitudinal Clinical Records W Pan, C Su, JRMA Maasch, K Chen, C Henchcliffe, F Wang AMIA Summits on Translational Science Proceedings 2024, 374, 2024 | | 2024 |
Regularized Data Programming with Automated Bayesian Prior Selection JRMA Maasch, H Zhang, Q Yang, F Wang, V Kuleshov ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | | 2023 |