Results 241 to 250 of about 34,329 (314)
Venous thromboembolism and bleeding in cancer patients: role of inflammatory and cardiac biomarkers. [PDF]
Roy DC +6 more
europepmc +1 more source
We retrospectively enrolled breast cancer patients receiving neoadjuvant therapy from multiple centers. We analyzed digital whole‐slide images, extracted pathological features, and built integrated prediction models combining pathological features and text information.
Yani Wei +14 more
wiley +1 more source
Risk factors and predictive nomograms for early mortality in patients with thyroid cancer lung metastasis based on the SEER database and a Chinese population study. [PDF]
Lv R +9 more
europepmc +1 more source
Osteoarthritis: Epidemiology, Diagnosis, and Treatment
Osteoarthritis (OA) is a multifactorial degenerative joint disease and a leading cause of disability worldwide. This graphical abstract summarizes the epidemiology, diagnostic strategies, and therapeutic approaches of OA. OA development is driven by aging, metabolic dysregulation, and mechanical stress, leading to progressive joint degeneration ...
Qin Ru +7 more
wiley +1 more source
The prognostic value of the albumin/neutrophil-to-lymphocyte ratio in colorectal cancer patients: a retrospective cohort study. [PDF]
Xie H, Xu N, Wei L, Tang S, Gan J.
europepmc +1 more source
ABSTRACT Aim This study aimed to explore latent categories of nursing and medical students' knowledge, attitude and practice intentions regarding advance care planning (ACP), and to identify the factors influencing these categories. It sought to provide an evidence base for developing personalized, precision‐targeted advance care planning educational ...
Yicheng Su +7 more
wiley +1 more source
Multi-omics analysis and experimental validation uncovers prognosis significance of IKBIP in patients with hepatocellular carcinoma: a multicenter cohort study. [PDF]
Jiao Y +8 more
europepmc +1 more source
ABSTRACT A priori model‐informed precision dosing (MIPD) recommends an appropriate first dose based solely on the patient's covariates enabling faster target attainment without required concentration measurements. Population pharmacokinetic (PopPK) model ensembling and machine learning (ML) approaches were developed and evaluated to predict a first ...
Mihály Leiwolf +6 more
wiley +1 more source

