Results 71 to 80 of about 561,399 (265)
Building Uncertainty Models on Top of Black-Box Predictive APIs
With the commoditization of machine learning, more and more off-the-shelf models are available as part of code libraries or cloud services. Typically, data scientists and other users apply these models as “black boxes” within larger ...
Axel Brando +3 more
doaj +1 more source
KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
wiley +1 more source
Flipped Classroom Research: From “Black Box” to “White Box” Evaluation
The flipped (or inverted) classroom model has gained increasing interest among university teachers in recent years. In the flipped classroom approach, students are encouraged to watch short video lectures as preparation for class, and classroom time is ...
Christian Stöhr, Tom Adawi
doaj +1 more source
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
Looking inside the black box—semantic investigations on a frequently used expression beyond AI
Talking about Artificial Intelligence (AI) as a black box is a current phenomenon in scientific communication as well as in journalistic reporting on this topic.
Patrizia Attar +3 more
doaj +1 more source
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
The popularity of deep learning (DL) in the machine learning community has been dramatically increasing since 2012. The theoretical foundations of DL are well-rooted in the classical neural network (NN).
Yoichi Hayashi
doaj +1 more source
Black-box optimization with a politician
19 ...
Sébastien Bubeck, Yin Tat Lee
openaire +3 more sources

