Recently, using artificial intelligence (AI) in drug discovery has received much attention since it significantly shortens the time and cost of developing
Dec 11, 2024 byMilliporeSigma A Technology Guide for AI-Enabled Drug Discovery Learn practical strategies for using artificial intelligence to find the best drug candidate. Technology Guides Dec 9, 2024 byThermo Fisher Scientific Achieving bioanalytical precision and control Advanced LIMS software help...
In a multicenter, open-label, randomized controlled trial, digital consults including digital data sharing, patient e-learning and guideline recommendations to clinicians improved guideline-directed medical therapy over the course of 12 weeks. Jelle P. Man Maarten A. C. Koole Mark J. Schuuring...
A particular type of function approximators wherein functions that predict discrete classes (classifiers) or real-values (regression models) do so by composing a series of (typically nonlinear) functions, each one converting the previous layer’s outputs into a new ‘space’. These models have bee...
A high value for this index generally indicates a high level of agreement between a clustering and the natural classes [37, 38]. Jaccard index "Jaccard index, used to assess the similarity between different partitions of the same dataset, the level of agreement between a set of class labels ...
Most drugs in the “golden age” of discovery of antibacterial agents (1940–1962) [96,97,98], including drug classes such as penicillins and aminoglycosides, were based on natural resources [98]. While penicillin was discovered in fungi, the majority of antibacterial drugs from natural ...
DEML provides a promising way to guideline novel combination therapy strategies for cancer treatment. Keywords: drug synergy; drug–drug interactions; multi-task learning; ensemble learning; deep learning1. Introduction In the treatment of complex diseases, such as cancer, monotherapy usually shows ...
Microbiologist: Reviews the data submitted, if the product is an antimicrobial product, to assess response across different classes of microbes. Approval The FDA review team has 30 days to review the original IND submission. The process protects volunteers who participate in clinical tr...
Guo, "iATC-NRAKEL: an effi- cient multi-label classifier for recognizing anatomical thera- peutic chemical classes of drugs," Bioinformatics, vol. 36, no. 5, pp. 1391–1396, 2020. [41] M. Kuhn, C. von Mering, M. Campillos, L. J. Jensen, and P. Bork, "STITCH: in...
Interestingly, the most overrepresented classes among the drugs predicted to selectively inhibit the afatinib-tolerant subpopulation were IGF1R, HDAC, and AKT/MTOR/PI3K inhibitors (Fig. 3H). We have already shown that afatinib and IGF1R inhibitors have a strong synergistic effect on these cells [4...