Results 261 to 270 of about 77,844 (314)

Regulatory Effects of Endometriosis-Associated Genetic Variants: A Multi-Tissue eQTL Analysis. [PDF]

open access: yesDiseases
Garibaldi-Ríos AF   +10 more
europepmc   +1 more source

The phenological growth stages, heat unit requirement and anti‐tyrosinase activity of Greyia radlkoferi Szyszyl

open access: yesAnnals of Applied Biology, EarlyView.
Phenological growth stages of Greyia radlkoferi: The phenological growth stages of Greyia radlkoferi were monitored for a period of 3 years from 2018, 2019 and 2020. The flower budding, bud burst, flowering, fading, fruiting, seeding, leaf senescence and vegetative stage were recorded. The tyrosinase inhibitory activity of G.
Joseph Malele   +3 more
wiley   +1 more source

Understanding and Addressing Clinical Variation in Rectal Cancer Care: Application of an Analytic Framework

open access: yesAsia-Pacific Journal of Clinical Oncology, EarlyView.
There is substantial clinical variation in the use of neoadjuvant radiotherapy for high‐risk rectal cancer, ranging from 25% to 59% in New South Wales, Australia. Assessed against an empirically based analytic framework, the reasons for this clinical variation were largely unwarranted and related to MDT processes, imaging quality, workforce/practice ...
Bernadette (Bea) Brown   +4 more
wiley   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

open access: yesArtificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato   +11 more
wiley   +1 more source

Idiopathic Myointimal Hyperplasia of the Mesenteric Veins: Diagnosed After Resection due to Insufficient Palliative Surgery. [PDF]

open access: yesSurg Case Rep
Hoshino N   +9 more
europepmc   +1 more source

Development and Validation of Multivariable Machine‐Learning Models for the Prediction of Multisystemic Inflammatory Syndrome Outcomes in Latin American Children

open access: yesActa Paediatrica, EarlyView.
ABSTRACT Aim We aimed to develop and test machine learning algorithms for the prediction of severe outcomes associated with MIS‐C. Method An observational ambispective cohort study was conducted including children aged from 1 month to 18 years old in 84 hospitals from the REKAMLATINA (Red de la Enfermedad de Kawasaki en America Latina) network ...
Danilo Buonsenso   +12 more
wiley   +1 more source

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