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Microsoft

Scholars384
Papers185
Citations17
Related Papers (172)
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An Iterative, Pathologist-in-the-Loop Workflow for Generation of Clinical-Grade Synthetic Pathology Images in a Diverse Cohort of Pancreatic Tumors
errCancers
IF4.4
err2026-09-17
err0
errOAAI
errYixi Xu; Md Nasir; Valentina Matos-Romero; Tiane Chen; Ralph H. Hruban; William B. Weeks; Rahul Dodhia; Juan Lavista Ferres; Ashley L. Kiemen
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The future of large-scale experiments and their challenges in the digital era
errNature Human Behaviour
IF15.9
err2026-09-17
err0
PREAI
errDavid Holtz; Iavor Bojinov; Ramesh Johari; Nathan Kallus; Apoorva Lal; Sathya Anand; Kyle Carlson; Brent Cohn; Tom Cunningham; Alex Deng; Maria Dimakopoulou; Amit Gandhi; Victor Kostyuk; Madhav Kumar; Shyue-Ming Loh; Widad Machmouchi; Jialiang Mao; James McQueen; John Meakin; Konrad Miziolek; Dominique Perrault-Joncas; Vladimir Petrovic; Sven Schmit; James Sorenson; Matthew Wardrop; Michael Zhao; Wenjing Zheng; Martin Tingley
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Predicting the status of 35 sustainable development goal indicators in Indian villages: a semi-supervised machine learning approach for precision public policy
errLancet Regional Health - Southeast Asia
IF6.2
err2026-09-08
err0
errOAAI
errSoohyeon Ko; Avleen S. Bijral; Abhimanyu Singh; Jeffrey C. Blossom; Sunil Rajpal; William Joe; S.V. Subramanian; Rockli Kim
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errSave
APEX: An Extensible and Dynamism-Aware Simulator for Automated Parallel Execution in LLM Serving
errJournal of Parallel and Distributed Computing
IF4
err2026-09-01
err0
PREAI
errYi-Chien Lin; Ronald Pineda; Fanny Nina Paravecino
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Responsible use of artificial intelligence and machine learning for food security early warning systems
errNature Food
IF21.9
err2026-08-06
err0
PREAI
errWeston Anderson; Inbal Becker-Reshef; Nicholas Bodanac; Bia Carneiro; Dave English; Andrew Hoell; Tim Hoffine; YanYan Liu; Mélissande Machefer; Michele Meroni; Clionadh Raleigh; Andrew J. Tatem; Robert Trigwell; Paola Vesco; Rob Vos
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Toward a test of medical AI superintelligence
errNature Medicine
IF50
err2026-07-27
err0
PREAI
errEthan Goh; David Wu; Chase Walton; Liam G. McCoy; Anastasia Perez; Laura Wegner; Fateme Nateghi Haredasht; Luyang Luo; Kathleen Lacar; Thomas Buckley; Austin Schoeffler; Peter Brodeur; Kameron C. Black; John Havlik; Yun Liu; Po-Hsuan Cameron Chen; Mike Schaekermann; John Rumsfeld; Daniel Lopez-Martinez; Paxton Maeder-York; Karan Singhal; David Gunning; Bon Ku; Haider Warraich; Shantanu Nundy; Vishnu Ravi; Arnold Milstein; Jason Hom; Kevin Schulman; Pranav Rajpurkar; Arjun K. Manrai; Robert Wachter; Eric Topol; Eric Horvitz; Adam Rodman; Jonathan H. Chen
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GenART: Reading the genome’s language with adaptive “words”
errCell Reports Methods
IF4.5
err2026-07-08
err0
errOAAI
errKehan Chen; Ping Han; Zhe Lin; Shang Gao; Xinyu Yang; Xiangxiang Zeng; Yeyun Gong; Zhiliang Ji; Chen Lin
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errSave
Survey Protocol Cards for Crop Maps
errIEEE Geoscience and Remote Sensing Letters
IF4.4
err2026-07-01
err0
PREAI
errAkram Zaytar; Girmaw A. Tadesse; Caleb Robinson; Shabarinath S. Nair; Gerald Blasch; Jeroen Degerickx; Mitelo Subakanya; Juan Carlos Laso Bayas; Gilles Q. Hacheme; Inbal Becker-Reshef; Rahul Dodhia; Juan Lavista Ferres
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Accounting for Measurement Bias: A New Framework for Reliable Country Ranking in Large-Scale Educational Assessments
errJournal of the American Statistical Association
IF3
err2026-06-29
err0
errOAAI
errJing Ouyang; Yunxiao Chen; Chengcheng Li; Gongjun Xu
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errSave
Anytime-Valid Inference in Linear Models with Applications to Regression-Adjusted Causal Inference
errJournal of the American Statistical Association
IF3
err2026-06-22
err0
PREAI
errMichael Lindon; Dae Woong Ham; Martin Tingley; Iavor Bojinov
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AI, humanity, and the open world of health care: enduring imperatives for the next century
errJournal of the American Medical Informatics Association
IF4.6
err2026-06-17
err0
PREAI
errEric Horvitz, MD, PhD
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errSave
Improved quantum processor logical error rates via correction and detection
errNature
IF48.5
err2026-06-10
err0
PREAI
errA. Paetznick; B. W. Reichardt; M. P. da Silva; C. Ryan-Anderson; D. Aasen; J. M. Bello-Rivas; J. P. Campora; R. Chao; A. Chernoguzov; W. van Dam; J. M. Dreiling; C. Foltz; F. Frachon; J. P. Gaebler; T. M. Gatterman; L. Grans-Samuelsson; D. Gresh; D. Hayes; N. Hewitt; C. Holliman; C. V. Horst; J. Johansen; D. Lucchetti; Y. Matsuoka; M. Mills; S. A. Moses; B. Neyenhuis; A. Paz; J. Pino; P. Siegfried; A. Sundaram; D. Tom; Z. Wang; S. J. Wernli; M. Zanner; R. P. Stutz; K. M. Svore
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errSave
A reporting checklist for large language models in behavioural science
errNature Human Behaviour
IF15.9
err2026-06-09
err0
PREAI
errStefan Feuerriegel; Christopher Barrie; M. J. Crockett; Laura K. Globig; Killian L. McLoughlin; Dan-Mircea Mirea; Arthur Spirling; Diyi Yang; Tim Althoff; Maria Antoniak; Lisa P. Argyle; Ashwini Ashokkumar; Mohammad Atari; Hannah Bailey; Kevin Bauer; Umang Bhatt; Yidong Chai; Tanmoy Chakraborty; Yanto Chandra; Huimin Chen; Hal Daumé; Gianmarco De Francisci Morales; Morteza Dehghani; Danica Dillion; Johannes C. Eichstaedt; Kerstin Forster; Dominique Geissler; Kurt Gray; Thomas L. Griffiths; Hartmann Jochen; Oliver P. Hauser; James K. He; Rahul Hemrajani; Felix Holzmeister; Angel Hsing-Chi Hwang; Tiancheng Hu; Anna A. Ivanova; Nils Köbis; Yara Kyrychenko; Himabindu Lakkaraju; Jia Liu; Abdurahman Maarouf; Sebastian Maier; Lennart Meincke; Rada Mihalcea; Brent Mittelstadt; Saif M. Mohammad; Mor Naaman; Oded Netzer; Alice Oh; Desmond C. Ong; Francesco Pierri; Barbara Plank; Iyad Rahwan; Talal Rahwan; Pooja S. B. Rao; Claire E. Robertson; David M. Rothschild; Matthew J. Salganik; Eric Schulz; Chirag Shah; Yash Raj Shrestha; Ekaterina Shutova; Alexandra A. Siegel; Almog Simchon; Huan Sun; Malte Toetzke; Jay J. Van Bavel; Michelle Vaccaro; Jennifer Wortman Vaughan; Effy Vayena; Pedro O. S. Vaz-de-Melo; Briana Vecchione; Angelina Wang; Robert West; Robb Willer; Dirk U. Wulff; Renwen Zhang; Simone Zhang; Steve Rathje; Manoel Horta Ribeiro
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Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance
errNature Methods
IF32.1
err2026-06-09
err0
PREAI
errAlan DenAdel; Madeline Hughes; Akshaya Thoutam; Anay Gupta; Andrew W. Navia; Nicolo Fusi; Srivatsan Raghavan; Peter S. Winter; Ava P. Amini; Lorin Crawford
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A disease-centric vision-language foundation model for precision oncology in kidney cancer
errNature Communications
IF15.7
err2026-06-08
err0
errOAAI
errYuhui Tao; Zhongwei Zhao; Zilong Wang; Xufang Luo; Feng Chen; Kang Wang; Chuanfu Wu; Xue Zhang; Shaoting Zhang; Jiaxi Yao; Xingwei Jin; Xinyang Jiang; Yifan Yang; Dongsheng Li; Lili Qiu; Zhiqiang Shao; Jianming Guo; Nengwang Yu; Ying Xiong; Shuo Wang
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errSave
Human-AI co-design for clinical prediction models
errnpj Digital Medicine
IF15.1
err2026-06-06
err0
errOAAI
errJean Feng; Avni Kothari; Patrick Vossler; Andrew Bishara; Lucas Zier; Newton Addo; Aaron Kornblith; Yan Shuo Tan; Chandan Singh
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errSave
A narrowing window to understand AI
errScience
IF45.8
err2026-06-04
err0
PREAI
errEric Horvitz; Robert West
errShare
errSave
Designing standard library of manipulation skill-agents for Learning-from-Observation
errInternational Journal of Robotics Research
IF5
err2026-05-30
err0
PREAI
errJun Takamatsu; Daichi Saito; Katsushi Ikeuchi; Atsushi Kanehira; Kazuhiro Sasabuchi; Naoki Wake
errShare
errSave
An accurate, efficient, and accessible AI-powered solution for wildlife re-identification in conservation
errScientific Reports
IF3.9
err2026-05-30
err0
errOAAI
errShahrzad Gholami; Derek E. Lee; Caleb Robinson; Monica L. Bond; Rahul Dodhia; Juan M. Lavista Ferres
errShare
errSave
AI and the democratization of knowledge work
errNature Computational Science
IF18.3
err2026-05-27
err0
PREAI
errMadeleine I. G. Daepp; Kiran Tomlinson; Scott Counts; Siddharth Suri
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errSave