Results 91 to 100 of about 11,335 (296)
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
Software defect prediction based on association rule classification. [PDF]
In software defect prediction, predictive models are estimated based on various code attributes to assess the likelihood of software modules containing errors. Many classification methods have been suggested to accomplish this task.
Vanthienen, Jan +3 more
core
Effort-Aware Fault-Proneness Prediction Using Non-API-Based Package-Modularization Metrics
Source code complexity of legacy object-oriented (OO) software has a trickle-down effect over the key activities of software development and maintenance. Package-based OO design is widely believed to be an effective modularization. Recently, theories and
Mohsin Shaikh +3 more
doaj +1 more source
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
wiley +1 more source
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction. [PDF]
Khan B, Nadeem A.
europepmc +1 more source
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
An Enhanced Conventional Neural Network Schema for Structural Class-based Software Fault Prediction
Malicious software detection is the most prominent process required by various industries to avoid server failure. It is required to detect malicious software accurately to avoid time and cost wastage.
Gururajan, Raj +2 more
core +1 more source
Increasing diversity: Natural language measures for software fault prediction
While challenging, the ability to predict faulty modules of a program is valuable to a software project because it can reduce the cost of software development, as well as software maintenance and evolution.
FEILD H +3 more
core +1 more source
Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth +6 more
wiley +1 more source

