In this review, we discuss several recent studies showing that dispersal patterns are more variable than previously thought, often leading to complex genetic structure within cooperative avian societies. These empirical findings accord with recent theoretical models suggesting that sex- biased dispersal is...
Infections have become the major cause of morbidity and mortality among patients with chronic lymphocytic leukemia (CLL) due to immune dysfunction and cytotoxic CLL treatment. Yet, predictive models for infection are missing. In this work, we develop the CLL Treatment-Infection Model (CLL-TIM) that...
The evaluation of machine learning models on the original and three resampled datasets highlights the importance of choosing the right data preprocessing technique in conjunction with the model type. In our ML model, the most significant variable for not having dental insurance was the cost barriers ...
as well as their tumor microenvironment. Interaction with diverse stromal cells can activate pro-invasive programs such as an epithelial-to-mesenchymal transition in some primary tumor cells, leading to metastatic dissemination6,7. Dynamic changes in the tumor microenvironment can also lead to immune s...
(either estimated from time spent feeding if clear from IMU sensor traces or through a proxy derived from prey body size or estimated caloric value) can be included in model structures. Models explaining the likelihood of successful predation of a given prey would benefit from including the ...
The wide range of computational tools available includes several data-driven methods based on learning models, in which the algorithms are trained using experimental outcomes and databases to identify RNA–RBP binding patterns and define the genome-wide profiling of RNA–protein interactions [22]. In...
RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning Nucleic Acids Res, 51 (2023), pp. D488-D508 CrossrefView in ScopusGoogle Scholar 30 D. Piovesan, A.M. ...
(E1-E4).bSPR confirms that the engineered capsids AAV9-X1.1 and CAP-Mac gained direct binding interactions with human LRP6. v.g.: viral genomes.cRepresentative AlphaFold models, from 5 structural models each of X1 and CAP-Mac peptides with up to 20 recycles, predict selective interaction ...
Current examples of this 'a la carte' design include cancer models of glioblastoma, rhabdomyosarcoma, multiple endocrine neoplasia and leukaemia. D. melanogaster tumours range from hyperplasias to frankly malignant neoplasias that are invasive and lethal to the host. Both the presence and the lack ...
Machine learning, which leverages well-established high-dimen- sional datasets to create more accurate predictive models for specific phenotypes, has proven valuable in discovering novel factors impacting a range of biological traits, including those related to longevity and health10. However, it ...