Results 191 to 200 of about 19,841,559 (252)

Deep learning-based time series prediction in multispectral and hyperspectral imaging for cancer detection. [PDF]

Front Med (Lausanne)
Hao L, Wang C, Che J, Sun M, Wang Y.
europepmc   +1 more source

Acute Endocrine Alterations After Traumatic Brain Injury and 6‐Month Functional Outcome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Acute multi‐axis endocrine alterations after traumatic brain injury (TBI) remain incompletely characterized. This study aimed to examine their temporal patterns and explore their associations with 6‐month functional outcome and early inflammatory markers.
Biao Xu, Peng Guo, Rui Pan, Zhenghao Wang, Jingchao Zhou, Pengcheng Zhang, Xingzhe Zhang, Qinghua Zhang, Haibin Ma, Zhanfeng Niu   +9 more
wiley   +1 more source

Deep learning-based time series prediction for precision field crop protection. [PDF]

Front Plant Sci
He T, Li M, Jin D.
europepmc   +1 more source

Discordance Between Patient and Physician Global Assessments in Early Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective This study aims to identify factors associated with patient global assessment (PtGA) and physician global assessment (PhGA) and discordance between them in systemic sclerosis (SSc). Methods Data from adults with early SSc (<5 years) from the Collaborative National Quality and Efficacy Registry were included.
Ellen Romich, Alexis Ogdie, Alisa Stephens Shields, Peter A. Merkel, Shervin Assassi, Elana J. Bernstein, Andreea Bujor, Flavia V. Castelino, Lorinda Chung, Luke B. Evnin, Tracy M. Frech, Jessica K. Gordon, Melissa Griffith, Faye N. Hant, Monica L. Harding, Laura K. Hummers, Dinesh Khanna, Kimberly S. Lakin, Dorota J. Lebiedz‐Odrobina, Yiming Luo, Ashima Makol, Maureen D. Mayes, Zsuzsanna H. McMahan, Jerry Molitor, Duncan F. Moore, Julie Paik, Carrie Richardson, Brian Skaug, Ami A. Shah, Ankoor Shah, Virginia Steen, John M. VanBuren, Elizabeth R. Volkmann, Carleigh Zahn, Nora Sandorfi, for the CONQUER Investigators   +35 more
wiley   +1 more source

Deep learning approaches for time series prediction of renal recovery in medical critically Ill patients with acute kidney injury: LSTM, GRU, and transformer models. [PDF]

Crit Care
Ratchatorn A, Ketdao N, Sonsilphong S, Triamwichanon D, Panitchote A.   +4 more
europepmc   +1 more source

Immunosuppressive Drug Use in Limited Systemic Sclerosis: An International Survey

Arthritis Care &Research, EarlyView.
Objective Current guidelines recommend immunosuppressive treatment for diffuse cutaneous systemic sclerosis but are less clear on their use in limited cutaneous systemic sclerosis (lcSSc) in the absence of internal organ complications. We conducted an international survey to understand current immunosuppressive drug prescribing patterns in lcSSc ...
Sabrina Hoa, Yicheng Mu, Marie Hudson, Janet Pope   +3 more
wiley   +1 more source

Field phenotyping for soybean density tolerance using time-series prediction and dynamic modeling. [PDF]

Plant Phenomics
Sun G, Zhang Y, Meng L, Liu Y, Wang L, Fei S, Che Y, Li Y, Qiu L, Lv C, Xu Y, Ma Y.   +11 more
europepmc   +1 more source

Research on time series prediction model for multi-factor environmental parameters in facilities based on LSTM-AT-DP model. [PDF]

Front Plant Sci
Liang L, Shi H, Wang Z, Wang S, Li C, Diao M.   +5 more
europepmc   +1 more source

Real‐World Safety and Effectiveness of JAK Inhibitors in Systemic Sclerosis: A Propensity‐Matched Study From the EUSTAR Cohort

Arthritis Care &Research, EarlyView.
Objective JAK inhibitors (JAKi) have shown promising effects in early‐phase studies of systemic sclerosis (SSc). We aimed to assess the safety and explore the effectiveness of JAKi compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the European Scleroderma Trials and Research Group (EUSTAR) cohort was ...
Stefano Di Donato, Marie‐Elise Truchetet, Marco Minerba, Oliver Distler, Juan José Alegre Sancho, Yolanda Braun‐Moscovici, Christina Bergmann, Petros Sfikakis, Jeska K. de Vries‐Bouwstra, Murray Baron, Silvia Bellando‐Randone, Lorenzo Dagna, Christopher P. Denton, Madelon C. Vonk, Vanessa Smith, Ivan Castellvi, Gabriela Riemekasten, Andra Balanescu, Masataka Kuwana, Maria De Santis, Kamal Solanki, Anastas Batalov, Vahan Mukuchyan, Marco Matucci‐Cerinic, Yannick Allanore, Francesco Del Galdo, Michael Hughes, EUSTAR Collaborators   +27 more
wiley   +1 more source

Time series prediction based on the variable weight combination of the T-GCN-Luong attention and GRU models. [PDF]

Sci Rep
Guo Y, Huang J, Jiang X.
europepmc   +1 more source