Results 131 to 140 of about 582,179 (337)

Transforming Biomedical Informatics and Health Information Access: Don Lindberg and the U.S. National Library of Medicine

, 2022
Humphreys, Betsy L., Logan, Robert A., Miller, Randolph A., Siegel, Elliot R.   +3 more
openalex   +1 more source

Comprehensive Profiling of N6‐methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation

Advanced Science, EarlyView.
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang, Rucong Liu, Zibaguli Wubulikasimu, Wanqing Zhao, Jiaqi Huang, Jiaxuan Wang, Tianyuan Zhang, Rui Fan, Wei Kong, Qinghua Cui, Yang Li, Yuan Zhou   +11 more
wiley   +1 more source

Special Issue From research to development to implementation: challenges in health informatics and health information management [PDF]

, 2008
Peter A. Bath
openalex   +1 more source

Increasing the Impact of Global Health Informatics by Improving the sharing of Public Health data across countries: A Call for Action [PDF]

, 2020
Felix Holl
openalex   +1 more source

A Proposed Approach to Investigate Whether Postgraduate Health Care Management Education in Australian Universities Facilitates the Development of Informatics Competencies [PDF]

, 2021
Mark Brommeyer, Mark Mackay, Zhanming Liang, Louise Schaper, Peter Balan   +4 more
openalex   +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

IMIA and its Members: On Balancing Continuity and Transition in Biomedical and Health Informatics [PDF]

, 2009
P. L. Reichertz
openalex   +1 more source

Nap1L4a Cooperates with Scl/Klf1 to Recruit H2A.Z in Mediating Interactions Among Cis‐Regulatory Elements and Transcription Required for Primitive Erythropoiesis in Zebrafish

Advanced Science, EarlyView.
Nap1l4a is required in erythropoiesis and hypoxia responses via physical interaction with Klf1 and Scl to recruit the histone variant H2A.Z. This facilitates its associated cis‐regulatory element (CRE) remodeling and the consequent chromatin assembly, and activates the transcription of erythroid lineage‐specific genes.
JiaHao Shi, FuMing Lai, Zheng Shen, XiaoYan Zhang, HanFei Wang, WenYe Liu, YunLong Wang, KuanYu Li, GuoLiang Li, YaPing Fang, Jing‐Xia Liu   +10 more
wiley   +1 more source

APOE‐stratified Proteomic and Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation and Lipid Dysregulation in Alzheimer's Disease

Advanced Science, EarlyView.
A large‐scale multiomic dataset (proteomic and metabolomic) comprising 3,060 plasma samples were analyzed to identify proteins, metabolites, pathways, and protein‐associated drugs linked to Alzheimer’s Disease (AD) independently of apolipoprotein E (APOE). AD was associated with a distinct molecular signature that captures.
Fuhai Li, Yike Chen, Daniel Western, Muhammad Ali, Menghan Liu, Katherine Gong, Ying Xu, Joseph Lowery, David M. Holtzman, Chloe Robins, John D. Eicher, Yen‐Ning Huang, ShiWei Liu, Tamina Park, Andrew J. Saykin, Kwangsik Nho, Mahdi Moqri, Richard C. Mohs, Amelia Farinas, Patricia Moran‐Losada, Hamilton Se‐Hwee Oh, Tony Wyss‐Coray, Carlos Cruchaga   +22 more
wiley   +1 more source

AI‐Driven Acceleration of Fluorescence Probe Discovery

Advanced Science, EarlyView.
We present PROBY, an AI model trained on large‐scale datasets to predict key photophysical properties and accelerate the discovery of target‐specific fluorescent probes. By screening a target‐annotated library, PROBY identifies candidate probes for diverse targets and could guide probe optimization, enabling a range of in vitro and in vivo imaging ...
Xuefeng Jiang, Yanbo Li, Xue Tian, Sen Yang, Ruina Luo, Cenxing Zhou, Yuxuan Liu, Jingying Hu, Sen Feng, Lu Gan, Chongzhao Ran, Kun‐Hsing Yu, Junhan Zhao, Xiao Han, Xuan Zhai, Yuntao Jia, Jiapei Dai, Xiyue Wang, Biyue Zhu   +18 more
wiley   +1 more source