This paper proposes a reformulation of the dual of the entropy regularized wassserstein distance problem that is amenable to screening techniques. Such techniques allow to reduce the dimension of optimization problems hence reducing the computational costs. Here static screening rule is proposed, meaning that the variables are screened before running the solver which is here an L-BFGS-B quasi-Newton method. Two screening techniques are proposed, either using a fixed threshold or a fixed budget. The latter appearing easier to use. A theorem quantifying the error on the orignal problem induced by approximation and screening is provided.

Researchers have found a new artificial intelligence-based drug screening technique. Read below to know the significance and process of the experiment. Developing life-saving drugs can cost billions of dollars and take years, but researchers have found a new artificial intelligence-based drug screening technique, and by using that they assume to shorten the process. Using a process that models drug and target protein interactions using natural language processing techniques, the researchers gained up to 97% accuracy in identifying promising drug candidates. The results were published currently in the journal Briefings in Bioinformatics.

Recently, a new study revealed that a computer algorithm was not only able to accurately analyze digital images drawn from cervical screenings but also detect precancerous changes that required more medical follow-up. The new technique dubbed automated visual evaluation boasts the ability to transform point-of-care cervical screening. "Our findings show that a deep learning algorithm can use images collected during routine cervical cancer screening to identify precancerous changes that, if left untreated, may develop into cancer," Mark Schiffman, MD, MPH, of the National Cancer Institute's Division of Cancer Epidemiology and Genetics, and senior author of the study said in a press release. "In fact, the computer analysis of the images was better at identifying precancer than a human expert reviewer of Pap tests under the microscope (cytology)." SEE MORE: UK's National Health Service Trialing AI Software for Diagnosing Cancer The release also showed that the artificial intelligence-based approach is easy to perform.