Results 121 to 130 of about 269,636 (288)
Information Criteria for Detecting Change-Points in the Cox Proportional Hazards Model [PDF]
Ryoto Ozaki, Yoshiyuki Ninomiya
openalex +1 more source
Schematic of two representative slippery surface: Lubricant‐infused surface (LIS) and liquid‐like surface (LLS) and its application in condensation and icephobic surface ABSTRACT Slippery surfaces that minimize contact line pinning and enable high droplet mobility have emerged as promising solutions for enhancing condensation and anti‐icing performance.
Jun Soo Kim +5 more
wiley +1 more source
Improvement of Hemocompatibility in Passive Cardiovascular Implant Devices
With the ever‐increasing reliance on cardiovascular devices and implants, minimizing their impact on blood is vital for their continued success. This review investigates the common methods of tackling this challenge through careful selections of material and surface modifications.
Shiyen L. Perera +4 more
wiley +1 more source
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks. [PDF]
Tarkhan A, Simon N.
europepmc +1 more source
Akkermansia muciniphila, a next‐generation probiotic, alleviates acute graft‐versus‐host disease (aGvHD) following allogeneic hematopoietic stem cell transplantation (HSCT) by providing protective effects across multiple organs. Pre‐colonization with A.
Jeong‐Eun Han +9 more
wiley +1 more source
PIN67 Extended Cox Model Analysis With Non-Proportional Hazards Applied in Real-World Observational Data [PDF]
Xinru Ji +5 more
openalex +1 more source
Genome‐wide CRISPR/Cas9 based screening identified RELA as a key tumor suppressor in TP53R249S‐mutant HCC. Its loss promotes tumorigenesis and metastasis via DVL1‐mediated Wnt/β‐catenin activation, while its agonist betulinic acid suppresses tumor progression.
Zhiping Wu +17 more
wiley +1 more source
ESTIMATION AND INFERENCE FOR EXPOSURE EFFECTS WITH LATENCY IN THE COX PROPORTIONAL HAZARDS MODEL IN THE PRESENCE OF EXPOSURE MEASUREMENT ERROR. [PDF]
Peskoe SB +3 more
europepmc +1 more source
Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang +32 more
wiley +1 more source

