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See the tutorial website.","datePublished":"2021-01-01T00:00:00-05:00","@type":"BlogPosting","@context":"https://schema.org"} +{"url":"https://zitniklab.hms.harvard.edu/2021/01/13/WWW-workshop/","mainEntityOfPage":{"@type":"WebPage","@id":"https://zitniklab.hms.harvard.edu/2021/01/13/WWW-workshop/"},"author":{"@type":"Person","name":"Marinka Zitnik"},"headline":"Workshop on AI in Health at the Web Conference","dateModified":"2021-01-13T00:00:00-05:00","description":"We are excited to co-organize Workshop on AI in Health: Transferring and Integrating Knowledge for Better Health at the Web (WWW) conference. The call for papers is open! We also announce the AI in Health Data Challenge.","datePublished":"2021-01-13T00:00:00-05:00","@type":"BlogPosting","@context":"https://schema.org"} +{"url":"https://zitniklab.hms.harvard.edu/2021/01/20/new-preprint-patient-safety/","mainEntityOfPage":{"@type":"WebPage","@id":"https://zitniklab.hms.harvard.edu/2021/01/20/new-preprint-patient-safety/"},"author":{"@type":"Person","name":"Marinka Zitnik"},"headline":"An Algorithmic Approach to Patient Safety","dateModified":"2021-01-20T00:00:00-05:00","description":"The new algorithmic approach investigates population-scale patient safety data and reveals inequalities in adverse events before and during COVID-19 pandemic.","datePublished":"2021-01-20T00:00:00-05:00","@type":"BlogPosting","@context":"https://schema.org"} +{"url":"https://zitniklab.hms.harvard.edu/2021/02/18/new-preprint-TDC/","mainEntityOfPage":{"@type":"WebPage","@id":"https://zitniklab.hms.harvard.edu/2021/02/18/new-preprint-TDC/"},"author":{"@type":"Person","name":"Marinka Zitnik"},"headline":"New Preprint on Therapeutics Data Commons","dateModified":"2021-02-18T00:00:00-05:00","description":"We are excited to share the preprint on Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. 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We develop a multiscale interactome approach to explain disease treatments. The approach can predict drug-disease treatments, identify proteins and biological functions related to treatment, and identify genes that alter treatment’s efficacy and adverse reactions.","datePublished":"2021-03-11T00:00:00-05:00","@type":"BlogPosting","@context":"https://schema.org"} +{"url":"https://zitniklab.hms.harvard.edu/2021/03/24/NSF-GRFP/","mainEntityOfPage":{"@type":"WebPage","@id":"https://zitniklab.hms.harvard.edu/2021/03/24/NSF-GRFP/"},"author":{"@type":"Person","name":"Marinka Zitnik"},"headline":"Michelle’s Graduate Research Fellowship","dateModified":"2021-03-24T00:00:00-04:00","description":"Michelle M. Li won the NSF Graduate Research Fellowship Award. 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Stay tuned for more news on this evolving project.","datePublished":"2021-07-24T00:00:00-04:00","@type":"BlogPosting","@context":"https://schema.org"} +{"url":"https://zitniklab.hms.harvard.edu/2021/08/02/WCB-best-poster/","mainEntityOfPage":{"@type":"WebPage","@id":"https://zitniklab.hms.harvard.edu/2021/08/02/WCB-best-poster/"},"author":{"@type":"Person","name":"Marinka Zitnik"},"headline":"Best Poster Award at ICML Comp Biology","dateModified":"2021-08-02T00:00:00-04:00","description":"Congratulations to Michelle for winning the Best Poster Award for her work on deep contextual learners for protein networks at the ICML Workshop on Computational Biology.","datePublished":"2021-08-02T00:00:00-04:00","@type":"BlogPosting","@context":"https://schema.org"} +{"url":"https://zitniklab.hms.harvard.edu/2021/08/03/NeurIPS-AI-Science/","mainEntityOfPage":{"@type":"WebPage","@id":"https://zitniklab.hms.harvard.edu/2021/08/03/NeurIPS-AI-Science/"},"author":{"@type":"Person","name":"Marinka Zitnik"},"headline":"AI for Science at NeurIPS","dateModified":"2021-08-03T00:00:00-04:00","description":"We are organizing the AI for Science workshop at NeurIPS 2021 and have a stellar lineup of invited speakers.","datePublished":"2021-08-03T00:00:00-04:00","@type":"BlogPosting","@context":"https://schema.org"} +{"url":"https://zitniklab.hms.harvard.edu/2021/08/08/NeurIPS-TDC/","mainEntityOfPage":{"@type":"WebPage","@id":"https://zitniklab.hms.harvard.edu/2021/08/08/NeurIPS-TDC/"},"author":{"@type":"Person","name":"Marinka Zitnik"},"headline":"New Paper on Therapeutics Data Commons","dateModified":"2021-08-08T00:00:00-04:00","description":"Our latest paper on Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development will appear at NeurIPS. 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Combinatorial Therapeutic Perturbations

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New paper introducing PDGrapher for combinatorial prediction of chemical and genetic perturbations using causally-inspired neural networks.

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Jan 2024:   Combinatorial Therapeutic Perturbations

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A warm welcome to postdoctoral fellows Wanxiang Shen and Ruth Johnson. Congratulations to Ruthie for being named a Berkowitz Fellow.

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diff --git a/feed.xml b/feed.xml index ebefdb46..3e00faff 100644 --- a/feed.xml +++ b/feed.xml @@ -1 +1 @@ -Jekyll2023-12-13T09:24:11-06:00https://zitniklab.hms.harvard.edu/feed.xmlZitnik LabHarvard Machine Learning for Medicine and ScienceMarinka ZitnikNext Generation of Therapeutics Commons2023-11-23T00:00:00-06:002023-11-23T00:00:00-06:00https://zitniklab.hms.harvard.edu/2023/11/23/OpenPositions<p>We are building the next generation of <a href="https://tdcommons.ai/">Therapeutics Commons</a>! We are seeking <a href="/postdoc-TDC/">outstanding fellows who will lead AI research to advance molecular drug design and clinical drug development.</a></p>Marinka ZitnikWe are building the next generation of Therapeutics Commons! We are seeking outstanding fellows who will lead AI research to advance molecular drug design and clinical drug development.Graph AI in Medicine2023-10-24T00:00:00-05:002023-10-24T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/10/24/GraphAIMedicine<p><a href="https://arxiv.org/abs/2310.13767">Graph AI models in medicine</a> integrate diverse data modalities through pre-training, facilitate interactive feedback loops, and foster human-AI collaboration, paving the way to clinically meaningful predictions.</p>Marinka ZitnikGraph AI models in medicine integrate diverse data modalities through pre-training, facilitate interactive feedback loops, and foster human-AI collaboration, paving the way to clinically meaningful predictions.Structure-Based Drug Design2023-10-24T00:00:00-05:002023-10-24T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/10/24/SBDD<p><a href="https://arxiv.org/abs/2306.11768">Geometric deep learning has emerged as a valuable tool</a> for structure-based drug design, to generate and refine biomolecules by leveraging detailed three-dimensional geometric and molecular interaction information.</p>Marinka ZitnikGeometric deep learning has emerged as a valuable tool for structure-based drug design, to generate and refine biomolecules by leveraging detailed three-dimensional geometric and molecular interaction information.New papers accepted at NeurIPS2023-09-22T00:00:00-05:002023-09-22T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/09/22/NewPapersNeurIPS<p>Congratulations to <a href="https://zitniklab.hms.harvard.edu/people/">Owen and Zaixi</a> for having their papers accepted <a href="https://nips.cc/">as spotlights at NeurIPS</a>! These papers introduce techniques for <a href="https://arxiv.org/abs/2306.02109">explaining time series models through self-supervised learning</a> and <a href="https://arxiv.org/abs/2310.02553">co-designing protein pocket sequences &amp; 3D structures</a>.</p>Marinka ZitnikCongratulations to Owen and Zaixi for having their papers accepted as spotlights at NeurIPS! These papers introduce techniques for explaining time series models through self-supervised learning and co-designing protein pocket sequences &amp; 3D structures.Future Directions in Network Biology2023-09-17T00:00:00-05:002023-09-17T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/09/17/Future-NetBio<p>Excited to share our perspectives on <a href="https://arxiv.org/abs/2309.08478">current and future directions in network biology.</a></p>Marinka ZitnikExcited to share our perspectives on current and future directions in network biology.Scientific Discovery in the Age of AI2023-08-02T00:00:00-05:002023-08-02T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/08/02/AI4Science-Nature<p>New paper on the role of <a href="https://rdcu.be/dinBA">artificial intelligence in scientific discovery is published in Nature.</a></p>Marinka ZitnikNew paper on the role of artificial intelligence in scientific discovery is published in Nature.PINNACLE - Contextual AI protein model2023-07-19T00:00:00-05:002023-07-19T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/07/19/PINNACLE<p><a href="https://www.biorxiv.org/content/10.1101/2023.07.18.549602">PINNACLE is a contextual AI model for protein understanding</a> that dynamically adjusts its outputs based on biological contexts in which it operates. <a href="https://zitniklab.hms.harvard.edu/projects/PINNACLE/">Project website.</a></p>Marinka ZitnikPINNACLE is a contextual AI model for protein understanding that dynamically adjusts its outputs based on biological contexts in which it operates. Project website.Our Group is Joining the Kempner Institute2023-06-21T00:00:00-05:002023-06-21T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/06/21/Kempner<p>Excited to join <a href="https://news.harvard.edu/gazette/story/newsplus/kempner-institute-announces-appointment-of-four-new-associate-faculty/">Kempner’s inaugural cohort of associate faculty</a> to advance Kempner’s mission of studying the intersection of natural and artificial intelligence.</p>Marinka ZitnikExcited to join Kempner’s inaugural cohort of associate faculty to advance Kempner’s mission of studying the intersection of natural and artificial intelligence.Welcoming a New Postdoctoral Fellow2023-06-11T00:00:00-05:002023-06-11T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/06/11/NewPostdoc<p>An enthusiastic welcome to <a href="https://scholar.google.com/citations?user=zW32dXsAAAAJ">Shanghua Gao</a> who is joining our group as a postdoctoral research fellow.</p>Marinka ZitnikAn enthusiastic welcome to Shanghua Gao who is joining our group as a postdoctoral research fellow.On Pretraining in Nature Machine Intelligence2023-06-01T00:00:00-05:002023-06-01T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/06/01/Pretraining-NatMachIntelligence<p>Excited to share our new study on <a href="https://www.nature.com/articles/s42256-023-00647-z">language model pretraining and general-purpose methods for biological sequences.</a> <a href="https://zitniklab.hms.harvard.edu/projects/SIPT/">Project website.</a></p>Marinka ZitnikExcited to share our new study on language model pretraining and general-purpose methods for biological sequences. Project website. \ No newline at end of file +Jekyll2024-01-07T22:40:39-05:00https://zitniklab.hms.harvard.edu/feed.xmlZitnik LabHarvard Machine Learning for Medicine and ScienceMarinka ZitnikCombinatorial Therapeutic Perturbations2024-01-01T00:00:00-05:002024-01-01T00:00:00-05:00https://zitniklab.hms.harvard.edu/2024/01/01/PDGrapher<p>New paper introducing <a href="https://www.biorxiv.org/content/10.1101/2024.01.03.573985">PDGrapher for combinatorial prediction of chemical and genetic perturbations</a> using causally-inspired neural networks.</p>Marinka ZitnikNew paper introducing PDGrapher for combinatorial prediction of chemical and genetic perturbations using causally-inspired neural networks.Next Generation of Therapeutics Commons2023-11-23T00:00:00-05:002023-11-23T00:00:00-05:00https://zitniklab.hms.harvard.edu/2023/11/23/OpenPositions<p>We are building the next generation of <a href="https://tdcommons.ai/">Therapeutics Commons</a>! We are seeking <a href="/postdoc-TDC/">outstanding fellows who will lead AI research to advance molecular drug design and clinical drug development.</a></p>Marinka ZitnikWe are building the next generation of Therapeutics Commons! We are seeking outstanding fellows who will lead AI research to advance molecular drug design and clinical drug development.Structure-Based Drug Design2023-10-24T00:00:00-04:002023-10-24T00:00:00-04:00https://zitniklab.hms.harvard.edu/2023/10/24/SBDD<p><a href="https://arxiv.org/abs/2306.11768">Geometric deep learning has emerged as a valuable tool</a> for structure-based drug design, to generate and refine biomolecules by leveraging detailed three-dimensional geometric and molecular interaction information.</p>Marinka ZitnikGeometric deep learning has emerged as a valuable tool for structure-based drug design, to generate and refine biomolecules by leveraging detailed three-dimensional geometric and molecular interaction information.Graph AI in Medicine2023-10-24T00:00:00-04:002023-10-24T00:00:00-04:00https://zitniklab.hms.harvard.edu/2023/10/24/GraphAIMedicine<p><a href="https://arxiv.org/abs/2310.13767">Graph AI models in medicine</a> integrate diverse data modalities through pre-training, facilitate interactive feedback loops, and foster human-AI collaboration, paving the way to clinically meaningful predictions.</p>Marinka ZitnikGraph AI models in medicine integrate diverse data modalities through pre-training, facilitate interactive feedback loops, and foster human-AI collaboration, paving the way to clinically meaningful predictions.New papers accepted at NeurIPS2023-09-22T00:00:00-04:002023-09-22T00:00:00-04:00https://zitniklab.hms.harvard.edu/2023/09/22/NewPapersNeurIPS<p>Congratulations to <a href="https://zitniklab.hms.harvard.edu/people/">Owen and Zaixi</a> for having their papers accepted <a href="https://nips.cc/">as spotlights at NeurIPS</a>! These papers introduce techniques for <a href="https://arxiv.org/abs/2306.02109">explaining time series models through self-supervised learning</a> and <a href="https://arxiv.org/abs/2310.02553">co-designing protein pocket sequences &amp; 3D structures</a>.</p>Marinka ZitnikCongratulations to Owen and Zaixi for having their papers accepted as spotlights at NeurIPS! These papers introduce techniques for explaining time series models through self-supervised learning and co-designing protein pocket sequences &amp; 3D structures.Future Directions in Network Biology2023-09-17T00:00:00-04:002023-09-17T00:00:00-04:00https://zitniklab.hms.harvard.edu/2023/09/17/Future-NetBio<p>Excited to share our perspectives on <a href="https://arxiv.org/abs/2309.08478">current and future directions in network biology.</a></p>Marinka ZitnikExcited to share our perspectives on current and future directions in network biology.Scientific Discovery in the Age of AI2023-08-02T00:00:00-04:002023-08-02T00:00:00-04:00https://zitniklab.hms.harvard.edu/2023/08/02/AI4Science-Nature<p>New paper on the role of <a href="https://rdcu.be/dinBA">artificial intelligence in scientific discovery is published in Nature.</a></p>Marinka ZitnikNew paper on the role of artificial intelligence in scientific discovery is published in Nature.PINNACLE - Contextual AI protein model2023-07-19T00:00:00-04:002023-07-19T00:00:00-04:00https://zitniklab.hms.harvard.edu/2023/07/19/PINNACLE<p><a href="https://www.biorxiv.org/content/10.1101/2023.07.18.549602">PINNACLE is a contextual AI model for protein understanding</a> that dynamically adjusts its outputs based on biological contexts in which it operates. <a href="https://zitniklab.hms.harvard.edu/projects/PINNACLE/">Project website.</a></p>Marinka ZitnikPINNACLE is a contextual AI model for protein understanding that dynamically adjusts its outputs based on biological contexts in which it operates. Project website.Our Group is Joining the Kempner Institute2023-06-21T00:00:00-04:002023-06-21T00:00:00-04:00https://zitniklab.hms.harvard.edu/2023/06/21/Kempner<p>Excited to join <a href="https://news.harvard.edu/gazette/story/newsplus/kempner-institute-announces-appointment-of-four-new-associate-faculty/">Kempner’s inaugural cohort of associate faculty</a> to advance Kempner’s mission of studying the intersection of natural and artificial intelligence.</p>Marinka ZitnikExcited to join Kempner’s inaugural cohort of associate faculty to advance Kempner’s mission of studying the intersection of natural and artificial intelligence.Welcoming a New Postdoctoral Fellow2023-06-11T00:00:00-04:002023-06-11T00:00:00-04:00https://zitniklab.hms.harvard.edu/2023/06/11/NewPostdoc<p>An enthusiastic welcome to <a href="https://scholar.google.com/citations?user=zW32dXsAAAAJ">Shanghua Gao</a> who is joining our group as a postdoctoral research fellow.</p>Marinka ZitnikAn enthusiastic welcome to Shanghua 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