Results 201 to 210 of about 6,808 (273)

Brain-model neural similarity reveals abstractive summarization performance. [PDF]

Sci Rep
Zhang Z, Guo S, Zhou W, Luo Y, Zhu Y, Zhang L, Li L.   +6 more
europepmc   +1 more source

Comparative Analysis of Abstractive Text Summarizers

With the increasing volume of digital content, automatic text summarization has become an essential tool for condensing large amounts of information into concise, coherent summaries. This thesis explores the field of abstractive text summarization, focusing on the evaluation of four state-of-the-art large language models (LLMs): ChatGPT 3.5, Gemini 1.0
openaire   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Biomedical semantic text summarizer. [PDF]

BMC Bioinformatics
Kirmani M, Kour G, Mohd M, Sheikh N, Khan DA, Maqbool Z, Wani MA, Wani AH.   +7 more
europepmc   +1 more source

Proteogenomic Characterization Reveals Subtype‐Specific Therapeutic Potential for HER2‐Low Breast Cancer

Advanced Science, EarlyView.
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu, Keda Yu, Lei Liu, Qin Wang, Xiaohui Wu, Yihai Chen, Guozheng Li, Xin Zhang, Bo Wei, Zitong Fu, Abiyasi Nanding, Zuxianglan Zhao, Lingbing Yang, Xingda Zhang, Jianyu Wang, Wantong Sun, Yi Hao, Zhongyi Cheng, Xiaojiang Cui, Hao Wu, Da Pang   +20 more
wiley   +1 more source

Radiology Report Annotation Using Generative Large Language Models: Comparative Analysis. [PDF]

Int J Biomed Imaging
Altalla' B, Ahmad A, Bitar L, Al-Bssol M, Al Omari A, Sultan I.   +5 more
europepmc   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

A study of extractive summarization of long documents incorporating local topic and hierarchical information. [PDF]

Sci Rep
Wang T, Yang C, Zou M, Liang J, Xiang D, Yang W, Wang H, Li J.   +7 more
europepmc   +1 more source

Comment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”

Advanced Science, EarlyView.
This comment examines AI‐driven DNA‐based facial reconstruction, focusing on the Difface model. While such technologies promise biomedical and forensic applications, they pose significant ethical, legal, and methodological challenges. We emphasize transparency, benchmarking, and rigorous validation to avoid misinterpretation and misuse.
Jennifer K. Wagner, Nina Claessens, Caitlin M. Maloney, Peter Claes   +3 more
wiley   +1 more source