Results 231 to 240 of about 617,872 (307)

Equine models in translational medicine: A comparative approach to human health

open access: yesAnimal Models and Experimental Medicine, EarlyView.
This diagram summarizes and contrasts rodent and equine models, outlining their strengths, limitations, and applications. Horses offer naturally occurring diseases, genetic and physiological similarities to humans, and suitability for longitudinal and clinical‐scale studies.
Shayan Boozarjomehri Amnieh   +1 more
wiley   +1 more source

Cancer therapy‐induced ototoxicity: Current challenges and emerging management strategies

open access: yesAnimal Models and Experimental Medicine, EarlyView.
This review comprehensively examines the key risk factors for cancer therapy‐induced ototoxicity, including cumulative drug dose, genetic susceptibility, and combined treatment regimens. It highlights current challenges in ototoxicity monitoring, such as insufficient timeliness and limited clinical adoption, and advocates for standardized auditory ...
Yuqi Huang   +4 more
wiley   +1 more source

Sleep, heart, and lungs: decoding the “triple trouble” phenotype in COPD – a cohort study

open access: yesERJ Open Research
Daniel Hansson   +5 more
doaj   +1 more source

Distinct Prescription Patterns Emerge Years Before ALS Diagnosis: A Nationwide Registry‐Based Study

open access: yesAnnals of Neurology, EarlyView.
Objective The prodromal phase of amyotrophic lateral sclerosis (ALS) is poorly defined. We aimed to characterize prescription drug use patterns in the pre‐diagnostic period by analyzing nationwide prescription data to identify the earliest divergence between individuals who developed ALS and matched healthy controls.
Magne Haugland Solheim   +6 more
wiley   +1 more source

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism

open access: yesAnnals of Neurology, EarlyView.
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono   +5 more
wiley   +1 more source

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