AIMC Topic: Biology
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Collective computational intelligence in biology - Emergence of memory in somatic tissues.
Bio Systems
Nov 25, 2022
Role of memory in the function of biological tissues, organs and organisms remains unexplored with many unanswered questions. In this study, the emergence of associative memory in somatic (non-neural) tissues and its potential relation to tissue func...
Deep reinforcement learning for optimal experimental design in biology.
PLoS computational biology
Nov 21, 2022
The field of optimal experimental design uses mathematical techniques to determine experiments that are maximally informative from a given experimental setup. Here we apply a technique from artificial intelligence-reinforcement learning-to the optima...
Anatomy and the type concept in biology show that ontologies must be adapted to the diagnostic needs of research.
Journal of biomedical semantics
Jun 27, 2022
BACKGROUND: In times of exponential data growth in the life sciences, machine-supported approaches are becoming increasingly important and with them the need for FAIR (Findable, Accessible, Interoperable, Reusable) and eScience-compliant data and met...
Testing the reproducibility and robustness of the cancer biology literature by robot.
Journal of the Royal Society, Interface
Apr 6, 2022
Scientific results should not just be 'repeatable' (replicable in the same laboratory under identical conditions), but also 'reproducible' (replicable in other laboratories under similar conditions). Results should also, if possible, be 'robust' (rep...
Machine Learning at the Interface of Polymer Science and Biology: How Far Can We Go?
Biomacromolecules
Feb 8, 2022
This Perspective outlines recent progress and future directions for using machine learning (ML), a data-driven method, to address critical questions in the design, synthesis, processing, and characterization of . The achievement of these tasks requir...
Network biology and artificial intelligence drive the understanding of the multidrug resistance phenotype in cancer.
Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy
Jan 28, 2022
Globally with over 10 million deaths per year, cancer is the most transversal disease across countries, cultures, and ethnicities, affecting both developed and developing regions. Tumorigenesis is dynamically altered by distinct events and can be let...
Stability and manoeuvrability in animal movement: lessons from biology, modelling and robotics.
Proceedings. Biological sciences
Jan 19, 2022
AI revolutions in biology: The joys and perils of AlphaFold.
EMBO reports
Oct 20, 2021
AlphaFold is the most ground-breaking application of AI in science so far; it will revolutionize structural biology, but caution is warranted.
A guide to machine learning for biologists.
Nature reviews. Molecular cell biology
Sep 13, 2021
The expanding scale and inherent complexity of biological data have encouraged a growing use of machine learning in biology to build informative and predictive models of the underlying biological processes. All machine learning techniques fit models ...
Machine Learning in Epigenomics: Insights into Cancer Biology and Medicine.
Biochimica et biophysica acta. Reviews on cancer
Jul 7, 2021
The recent deluge of genome-wide technologies for the mapping of the epigenome and resulting data in cancer samples has provided the opportunity for gaining insights into and understanding the roles of epigenetic processes in cancer. However, the com...
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