2.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS26 papers
- National Center for Biotechnology InformationUS7 papers
- Yale UniversityUS5 papers
- National Institutes of Health Clinical CenterUS4 papers
- National Eye InstituteUS3 papers
- National University of SingaporeSG3 papers
- Oregon Health & Science UniversityUS3 papers
- Pennsylvania State UniversityUS3 papers
- Radboud University NijmegenNL3 papers
- The University of Texas Health Science Center at HoustonUS3 papers
- University of California San DiegoUS3 papers
- Carnegie Mellon UniversityUS2 papers
37 papers
Fold-switching proteins push the boundaries of conformational ensemble prediction
Myeongsang Lee, Lauren L. Porter
A protein's function depends critically on its conformational ensemble, a collection of energy weighted structures whose balance depends on temperature and environment. Though rece…
Repurposing Annotation Guidelines to Instruct LLM Annotators: A Case Study
Kon Woo Kim, Rezarta Islamaj, Jin-Dong Kim +2
This study investigates how existing annotation guidelines can be repurposed to instruct large language model (LLM) annotators for text annotation tasks. Traditional guidelines are…
LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology
Zhenyue Qin, Yang Liu, Yu Yin +13
Vision-threatening eye diseases pose a major global health burden, with timely diagnosis limited by workforce shortages and restricted access to specialized care. While multimodal…
Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications
Anran Li, Lingfei Qian, Mengmeng Du +18
Large Language Models (LLMs) have demonstrated significant potential in medicine, with many studies adapting them through continued pre-training or fine-tuning on medical data to e…
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science
Betina Idnay, Zihan Xu, William G. Adams +54
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 instituti…
AI Workflow, External Validation, and Development in Eye Disease Diagnosis
Qingyu Chen, Tiarnan D L Keenan, Elvira Agron +35
Timely disease diagnosis is challenging due to increasing disease burdens and limited clinician availability. AI shows promise in diagnosis accuracy but faces real-world applicatio…
Harnessing PubMed User Query Logs for Post Hoc Explanations of Recommended Similar Articles
Ashley Shin, Qiao Jin, James Anibal +1
Searching for a related article based on a reference article is an integral part of scientific research. PubMed, like many academic search engines, has a "similar articles" feature…
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine
Qiao Jin, Fangyuan Chen, Yiliang Zhou +15
Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V) outperforms human physicians in medical challenge tasks. However, these evaluations primarily…
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression
Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
We consider the problem of predicting how the likelihood of an outcome of interest for a patient changes over time as we observe more of the patient data. To solve this problem, we…
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
Shubo Tian, Qiao Jin, Lana Yeganova +11
ChatGPT has drawn considerable attention from both the general public and domain experts with its remarkable text generation capabilities. This has subsequently led to the emergenc…
Benchmarking large language models for biomedical natural language processing applications and recommendations
Qingyu Chen, Yan Hu, Xueqing Peng +18
The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While…
Indecomposable doubling for representations of the type I Lie superalgebras sl(m/n) and osp(2/2n)
Peter D. Jarvis, Jean Thierry-Mieg
We establish that for the type I Lie superalgebras and , each Kac module admits a 1 parameter family of indecomposable double extensions. The result follows fr…
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays
Sivaramakrishnan Rajaraman, Gregg Cohen, Lillian Spear +2
Chest X-ray (CXR) is a widely performed radiology examination that helps to detect abnormalities in the tissues and organs in the thoracic cavity. Detecting pulmonary abnormalities…
Does deep learning model calibration improve performance in class-imbalanced medical image classification?
Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer Antani
In medical image classification tasks, it is common to find that the number of normal samples far exceeds the number of abnormal samples. In such class-imbalanced situations, relia…
Chest X-Ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio +2
Chest X-rays are the most commonly performed diagnostic examination to detect cardiopulmonary abnormalities. However, the presence of bony structures such as ribs and clavicles can…
SU(2/1) superchiral self-duality: a new quantum, algebraic and geometric paradigm to describe the electroweak interactions
Jean Thierry-Mieg, Peter Jarvis
We propose an extension of the Yang-Mills paradigm from Lie algebras to internal chiral superalgebras. We replace the Lie algebra-valued connection one-form , by a superalgebra-…
Synthetic Sample Selection via Reinforcement Learning
Jiarong Ye, Yuan Xue, L. Rodney Long +4
Synthesizing realistic medical images provides a feasible solution to the shortage of training data in deep learning based medical image recognition systems. However, the quality c…
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
Ellen Voorhees, Tasmeer Alam, Steven Bedrick +6
TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pand…
Scalar anomaly cancellation reveals the hidden superalgebraic structure of the quantum chiral SU(2/1) model of leptons and quarks
Jean Thierry-Mieg
At the classical level, the SU(2/1) superalgebra offers a natural description of the elementary particles: leptons and quarks massless states, graded by their chirality, fit the sm…
CORD-19: The COVID-19 Open Research Dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar +25
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate t…
Chirality, a new key for the definition of the connection and curvature of a Lie-Kac super-algebra
Jean Thierry-Mieg
A natural generalization of a Lie algebra connection, or Yang-Mills field, to the case of a Lie-Kac superalgebra, for example SU(m/n), just in terms of ordinary complex functions a…
PDC -- a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed
Rezarta Islamaj, Lana Yeganova, Won Kim +3
The need to organize a large collection in a manner that facilitates human comprehension is crucial given the ever-increasing volumes of information. In this work, we present PDC (…
Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification
Yuan Xue, Qianying Zhou, Jiarong Ye +5
Cervical intraepithelial neoplasia (CIN) grade of histopathology images is a crucial indicator in cervical biopsy results. Accurate CIN grading of epithelium regions helps patholog…
On characters and superdimensions of some infinite-dimensional irreducible representations of
N. I. Stoilova, J. Thierry-Mieg, J. Van der Jeugt
Chiral spinors and self dual tensors of the Lie superalgebra are infinite dimensional representations belonging to the class of representations with Dynkin la…