Results 161 to 170 of about 16,191,636 (293)

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño   +5 more
wiley   +1 more source

Predictive factor for first wheezing episode

open access: yesThe Turkish Journal of Pediatrics, 2015
The aim of study was to evaluate various risk in patients who were hospitalized with moderate to severe virus-induced wheezing. Infants hospitalized with virus-induced wheezing were enrolled in the study.
Selda Hançerli-Törün   +9 more
doaj  

Discovery of an Adaptive Neuroimmune Response Driving Itch and Fast Tick Removal with Implications for Preventing Pathogen Transmission

open access: yesAdvanced Science, EarlyView.
Itch‐induced tick removal (IITR): An acquired neuroimmune mechanism, itch‐induced tick removal, develops after repeated tick exposure, mobilizing T cells and macrophages at the tick bite site to trigger a rapid scratching response that facilitates timely tick removal within a critical window that precedes the transmission of many tick‐borne pathogens ...
Johannes S. P. Doehl   +27 more
wiley   +1 more source

Remission and recovery from first-episode psychosis in adults: systematic review and meta-analysis of long-term outcome studies

open access: yesBritish Journal of Psychiatry, 2017
J. Lally   +6 more
semanticscholar   +1 more source

Autoimmune Encephalitis in Acute Care—Pathology, Diagnosis, and Management

open access: yesAdvanced Science, EarlyView.
ABSTRACT Autoimmune encephalitis (AE) is characterized by immune‐mediated inflammation of the brain parenchyma, presenting with various neurological syndromes, including but not limited to seizures, altered consciousness, neuropsychiatric symptoms, and movement disorders.
Suneesh Thilak   +9 more
wiley   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

open access: yesAdvanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Impaired Glucose Homeostasis in First-Episode Schizophrenia: A Systematic Review and Meta-analysis

open access: yesJAMA psychiatry, 2017
T. Pillinger   +5 more
semanticscholar   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

mGluR5 in ECCCK to BLA Circuit Modulates Depressive‐Like Phenotypes through CCK Signaling

open access: yesAdvanced Science, EarlyView.
Dysregulation of mGluR5 and CCK signaling contributes to major depressive disorder, yet circuit‐level mechanisms remain unclear. Here, the ECCCK→BLA pathway is identified as a critical regulator of affective behavior. mGluR5 modulates synaptic function and CCK signaling within this circuit, controlling stress susceptibility and depressive‐like states ...
Muhammad Asim   +4 more
wiley   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

open access: yesAdvanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen   +10 more
wiley   +1 more source

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