Results 51 to 60 of about 602,847 (266)

Real-World Integration of an Automated Tool for Intracranial Hemorrhage Detection in an Unselected Cohort of Emergency Department Patients—An External Validation Study

Diagnostics
Background/Objectives: Intracranial hemorrhage (ICH) is a life-threatening condition that can be rapidly detected by non-contrast head computed tomography (NCCT). RAPID ICH is a deep learning (DL) tool for automatic ICH identification using NCCT. Our aim
Ronald Antulov, Martin Weber Kusk, Gustav Højrup Knudsen, Sune Eisner Lynggaard, Simon Lysdahlgaard, Vladimir Antonov   +5 more
doaj   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Attrition and representativeness in development and validation of online symptom checkers—a case study on the Rheumatic? Questionnaire

Frontiers in Artificial Intelligence
BackgroundOnline symptom checkers are often developed and validated on data subject to self-selection and selective attrition, potentially introducing biases in prediction models.ObjectivesTo assess recruitment, selection, and attrition patterns in a ...
Floor Dijkstra Zegers, Floor Dijkstra Zegers, Ling Qin, Daniyal Selani, Georgy Gomon, Georgy Gomon, Tjardo Maarseveen, Kasper Glas, Astrid van Tubergen, Astrid van Tubergen, Yvonne Goekoop Ruiterman, Marcel Reinders, Marcel Reinders, Erik van den Akker, Erik van den Akker, Corne Baatenburg de Jong, Lars Klareskog, Barbara Axnäs, Reinhard Bos, Reinhard Bos, Saskia le Cessie, Saskia le Cessie, Rachel Knevel   +22 more
doaj   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

Generalizability of Edaravone Efficacy

Muscle & Nerve
ABSTRACT The pivotal phase 3 trial MCI186‐19 (Study 19) demonstrated the efficacy of intravenous edaravone in slowing functional decline in patients with amyotrophic lateral sclerosis (ALS), leading to United States Food and Drug Administration approval.
Benjamin Rix Brooks, David L. Ennist, Danielle Beaulieu, Stephen Apple   +3 more
openaire   +2 more sources

Multilingual Deepfake Speech Dataset for Robust and Generalizable Detection

IEEE Access
The rise of sophisticated technologies capable of generating realistic synthetic human speech has introduced significant security challenges in voice-based applications.
Candy Olivia Mawalim, Yutong Wang, Aulia Adila, Shogo Okada, Masashi Unoki   +4 more
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Generalizability of experimental studies

CoRR
Experimental studies are a cornerstone of Machine Learning (ML) research. A common and often implicit assumption is that the study's results will generalize beyond the study itself, e.g., to new data. That is, repeating the same study under different conditions will likely yield similar results. Existing frameworks to measure generalizability, borrowed
Federico Matteucci, Vadim Arzamasov, Jose Cribeiro-Ramallo, Marco Heyden, Konstantin Ntounas, Klemens Böhm   +5 more
openaire   +2 more sources

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

The ‘Real-World Approach’ and Its Problems: A Critique of the Term Ecological Validity

Frontiers in Psychology, 2020
A popular goal in psychological science is to understand human cognition and behavior in the ‘real-world.’ In contrast, researchers have typically conducted their research in experimental research settings, a.k.a. the ‘psychologist’s laboratory.’ Critics
Gijs A. Holleman, Gijs A. Holleman, Ignace T. C. Hooge, Chantal Kemner, Chantal Kemner, Chantal Kemner, Roy S. Hessels, Roy S. Hessels   +7 more
doaj   +1 more source