Results 201 to 210 of about 61,045 (270)

Balancing haemodynamics in high-risk obstetrics: Spinal anaesthesia for emergency caesarean section in a parturient with uncorrected patent ductus arteriosus and severe anaemia. [PDF]

Indian J Anaesth
Selvister MM, Nandita MA, Angel M.
europepmc   +1 more source

Cardiometabolic effects of contrast therapy: A systematic review

Experimental Physiology, EarlyView.
Abstract The rising prevalence of overweight and obesity, together with associated cardiometabolic disorders, underscores the need for additional strategies alongside established interventions. The growing popularity of contrast therapy – alternating exposure to heat and cold, a practice common in traditional Finnish sauna bathing – has prompted ...
Veerle de Haan, Guy Plasqui, Hannah Pallubinsky   +2 more
wiley   +1 more source

TRPM8 virtual screening: the essential role of target-specific, inactive-enriched machine-learning scoring functions.

Digit Discov
James N, Ballester PJ.
europepmc   +1 more source

Exercise hemodynamics in adults with Fontan circulation assessed by noninvasive impedance cardiography. [PDF]

Front Cardiovasc Med
Bartczak-Rutkowska A, Straburzyńska-Migaj E, Nartowicz S, Dudek M, Ciepłucha A, Markiewicz A, Lesiak M, Trojnarska O.   +7 more
europepmc   +1 more source

Exercise intolerance and impaired aerobic capacity in heart transplant recipients

Experimental Physiology, EarlyView.
Abstract Heart transplant recipients exhibit reduced exercise tolerance and persistently diminished aerobic capacity despite exercise training. Exercise tolerance depends on integrated oxygen transport and utilization, which are impaired in heart transplant recipients.
Fred W. Kolkhorst, Daniel T. Cannon, Harry B. Rossiter   +2 more
wiley   +1 more source

Machine Learning Prediction of Litter Moisture and Litter pH in a Commercial Broiler House Using Nested Leave-One Production-Period-Out Cross-Validation. [PDF]

Animals (Basel)
Küçüktopçu E, Cemek B.
europepmc   +1 more source

Symptom‐Based Machine Learning Framework for Early Syndrome Coronavirus 2 (SARS‐CoV‐2) Infection Prediction

Applied AI Letters, Volume 8, Issue 1, February 2027.
This graphical abstract illustrates a symptom‐based machine learning framework for early prediction of SARS‐CoV‐2 infection. Clinical inputs such as SpO2, fever, cough, fatigue, and comorbidities are collected and preprocessed, followed by feature selection using a random forest‐based recursive elimination method.
Abdul Manan Koli, Syed Immamul Ansarullah, Ab Rashid Dar, Khair Ul Nisa, Anurag Sinha, Sami Alshmrany, Ravi Shankar Kumar, Mohd Asif Shah, Shreyash Srivastva, Amar Jeet   +9 more
wiley   +1 more source

Machine Learning-Driven Surrogate Modeling and Operating-Point Selection for a Microfluidic Diffusion-Membrane Platform for Transdermal Drug Delivery. [PDF]

Membranes (Basel)
Torabi T, Harasy MJ, Tahmoresnezhad J, Malekmohammadi S, Iulianelli A, Ghasemzadeh K.   +5 more
europepmc   +1 more source

Evaluation of tillage and cover cropping systems on the overwintering of angular leaf spot, yield, and quality in dark tobacco

Crop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.
Abstract Angular leaf spot (ALS; Pseudomonas syringae pv. tabaci) has become an increasingly important disease in dark tobacco [Nicotiana tabacum L.] production since 2015. Current recommendations for controlling ALS include selecting dark tobacco varieties with low ALS susceptibility and using agricultural streptomycin.
Alyssa C. Thelin, Virginia R. Sykes, Zachariah R. Hansen, Debasish Saha, Mitchell D. Richmond   +4 more
wiley   +1 more source