Results 81 to 90 of about 8,287,486 (375)
A Workflow for Software Development within Computational Epidemiology [PDF]
A critical investigation into computational models developed for studying the spread of communicable disease is presented. The case in point is a spatially explicit micro-meso-macro model for the entire Swedish population built on registry data, thus far
Abramson+22 more
core +2 more sources
Single‐cell insights into the role of T cells in B‐cell malignancies
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley +1 more source
Computational Social Science and Sociology.
The integration of social science with computer science and engineering fields has produced a new area of study: computational social science. This field applies computational methods to novel sources of digital data such as social media, administrative ...
Achim Edelmann+3 more
semanticscholar +1 more source
Rewriting the dendritic cell code in cancer—from subset identity to immunotherapeutic design
Dendritic cells (DCs) play central roles in cancer immunity but are often subverted by the tumor microenvironment. This review explores the diversity of DC subsets, their functional plasticity, and emerging therapeutic strategies to reprogram DCs for enhanced antitumor responses, including vaccines, in vivo targeting, and DC‐based immunotherapies ...
Estevão Carlos Silva Barcelos+3 more
wiley +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan+2 more
wiley +1 more source
Computational thinking in life science education. [PDF]
We join the increasing call to take computational education of life science students a step further, beyond teaching mere programming and employing existing software tools.
Amir Rubinstein, Benny Chor
doaj +1 more source
Ubiquity symposium: The science in computer science: unplugging computer science to find the science [PDF]
The Computer Science Unplugged project provides activities that enable students to engage with concepts from computer science without having to program. Many of the activities provide the basis of a scientific exploration of computer science, and thus help students to see the relationship of the discipline with science.
openaire +3 more sources
Building machines that adapt and compute like brains [PDF]
Building machines that learn and think like humans is essential not only for cognitive science, but also for computational neuroscience, whose ultimate goal is to understand how cognition is implemented in biological brains. A new cognitive computational
Kriegeskorte, Nikolaus, Mok, Robert M.
core +2 more sources
Tuberculosis remains a global health challenge and new therapeutic targets are required. Here, we characterized SseA, a sulfurtransferase from Mycobacterium tuberculosis involved in macrophage infection, and its interaction with the newly identified protein SufEMtb that activates SseA enzymatic activity.
Giulia Di Napoli+10 more
wiley +1 more source
Towards a computational transportation science
This report of a community activity, a Dagstuhl Seminar earlier in 2010, postulates the need for a computational transportation science, as the science behind intelligent transportation systems.
Stephan Winter+3 more
doaj +3 more sources