Results 91 to 100 of about 4,889,060 (329)
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities [PDF]
Zhaoyi Xu, J. Saleh
semanticscholar +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Statistical modelling of software reliability [PDF]
During the six-month period from 1 April 1991 to 30 September 1991 the following research papers in statistical modeling of software reliability appeared: (1) A Nonparametric Software Reliability Growth Model; (2) On the Use and the Performance of ...
Miller, Douglas R.
core +1 more source
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard +12 more
wiley +1 more source
Bayesian AEWMA control chart under ranked set sampling with application to reliability engineering. [PDF]
Khan I +6 more
europepmc +1 more source
On engineering reliability concepts and biological aging [PDF]
Some stochastic approaches to biological aging modeling are studied. We assume that an organism acquires a random resource at birth. Death occurs when the accumulated dam-age (wear) exceeds this initial value, modeled by the discrete or continuous random
Maxim S. Finkelstein
core
Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting
CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia +9 more
wiley +1 more source
A Machine-Learning-Based Prediction Method for Hypertension Outcomes Based on Medical Data
The outcomes of hypertension refer to the death or serious complications (such as myocardial infarction or stroke) that may occur in patients with hypertension.
Wenbing Chang +6 more
doaj +1 more source
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source

