Results 121 to 130 of about 567,216 (263)

ReactionSeek: LLM-powered literature data mining and knowledge discovery in organic synthesis. [PDF]

Nat Commun
Li J, Li M, Yang Q, Luo S.
europepmc   +1 more source

Novel approach by natural language processing for COVID-19 knowledge discovery. [PDF]

Biomed J, 2022
Wang L, Jiang L, Pan D, Wang Q, Yin Z, Kang Z, Tian H, Geng X, Shao J, Pan W, Yin J, Fang L, Wang Y, Zhang W, Li Z, Zheng J, Hu W, Pan Y, Yu D, Guo S, Lu W, Li Q, Zhou Y, Xu H.   +23 more
europepmc   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Reduction of supervision for biomedical knowledge discovery. [PDF]

BMC Bioinformatics
Theodoropoulos C, Coman AC, Henderson J, Moens MF.   +3 more
europepmc   +1 more source

Just Add Data: automated predictive modeling for knowledge discovery and feature selection. [PDF]

NPJ Precis Oncol, 2022
Tsamardinos I, Charonyktakis P, Papoutsoglou G, Borboudakis G, Lakiotaki K, Zenklusen JC, Juhl H, Chatzaki E, Lagani V.   +8 more
europepmc   +1 more source

Prodromal Lewy Body Disorder Features in REM Sleep Behavior Disorder With Biomarker‐Defined Synucleinopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal state for Lewy body disorders and exhibits biological heterogeneity that may influence clinical expression and progression. We examined clinical features in individuals with iRBD and biomarker‐defined synucleinopathy.
Daniel Weintraub, Michele K. York, Roseanne Dobkin, Anuprita R. Nair, Ryan Kurth, David‐Erick Lafontant, Chelsea Caspell‐Garcia, Roy N. Alcalay, Ethan G. Brown, Lana M. Chahine, Christopher Coffey, Tatiana Foroud, Douglas Galasko, Karl Kieburtz, Kenneth Marek, Kalpana Merchant, Brit Mollenhauer, Kathleen L. Poston, Andrew Siderowf, Cristina Simonet, Tanya Simuni, Caroline M. Tanner, Thomas F. Tropea, Aleksandar Videnovic, The Parkinson's Progression Markers Initiative   +24 more
wiley   +1 more source

Knowledge Discovery and Drug-Repurposing Framework for Pancreatic Ductal Adenocarcinoma: Molecular Networking and Computational Docking. [PDF]

Comput Struct Biotechnol J
Corbo T, Graarud EP, Resell M, Kalajdzic A, Pojskic N, Chen D, Gustafsson BI, Zhao CM.   +7 more
europepmc   +1 more source

A Neural Network Approach for Chinese Sports Tourism Demand Based on Knowledge Discovery. [PDF]

Comput Intell Neurosci, 2022
Qi L, Tang Y.
europepmc   +1 more source

Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni, Cecile Pagan, Antony Citterio‐Quentin, Isabelle Rouvet, Giulia Dingeo, Cyril Hanin, Claudine Laurent‐Levinson, Samia Pichard, Bénédicte Héron, Clément Gourguechon, Daniele Mandia, Jerome Guitton, Carole Lacout, Nicolas Schleinitz, Florient Potier, Olivier Flabeau, Elsa Besse‐Pinot, Foudil Lamari, Magali Pettazzoni, Yann Nadjar   +19 more
wiley   +1 more source

Knowledge Discovery on Cryptocurrency Exchange Rate Prediction Using Machine Learning Pipelines. [PDF]

Sensors (Basel), 2022
Shahbazi Z, Byun YC.
europepmc   +1 more source