AIMC Topic: Animals

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Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates.

Physiological measurement
To develop and validate a machine learning framework for the classification of distinct seizure onset patterns using intracranial EEG (iEEG) recordings in a non-human primate (NHP) model of penicillin-induced seizures.iEEG data were collected from si...

What does evolution make? Learning in living lineages and machines.

Trends in genetics : TIG
How does genomic information unfold, to give rise to self-constructing living organisms with problem-solving capacities at all levels of organization? We review recent progress that unifies work in developmental genetics and machine learning (ML) to ...

Predicting reticuloruminal pH and subacute ruminal acidosis of individual cows using machine learning and Fourier-transform infrared spectroscopy milk analysis.

Journal of dairy science
Low reticuloruminal pH (rpH) for a prolonged period could lead to SARA. This disease negatively affects cow health and is associated with monetary losses for the dairy industry. The aim of this study was to predict rpH and SARA separately using diffe...

Screening of Biomaterials for Stem Cell Culture Applications.

ACS biomaterials science & engineering
Stem cells have a considerable role to play in future biomedical breakthroughs due to their therapeutic potential. As stem cells may be studied in a variety of different applications, a "one size fits all" approach to the stem cell culture substrate ...

A novel predictive model and therapeutic potential of quercetin derivatives in chronic kidney disease progression.

Biochemical pharmacology
Chronic kidney disease (CKD) remains a pressing global health issue with limited therapeutic options. The loss of nephrons is a crucial pathological change driving CKD progression, influenced by diverse programmed cell death (PCD) pathways, yet the p...

Implications From the Analogous Relationship Between Evolutionary and Learning Processes.

BioEssays : news and reviews in molecular, cellular and developmental biology
Organismal evolution is a process of discovering better-fitting phenotypes through trial and error across generations. This iterative process resembles learning processes, an analogy recognized since the 1950s. Recognizing this parallel suggests that...

Role of tight junctions in three-dimensional mechanical model of blood-brain barrier.

Journal of biomechanics
The increasing prevalence of central nervous system (CNS) disorders has imposed a significant social and economic burden on healthcare systems. The blood-brain barrier (BBB) presents a major challenge for effective drug delivery to the brain, hinderi...

Codes across (life)sciences.

Bio Systems
The concept of "code" connotes different meanings, intentions, and formalizations. From mathematics and computer sciences to psychology and culture, the term becomes less formal, more diverse, and sometimes appears ambiguous. In biology a growing num...

Screening of bioactive compounds and deep learning-driven quality control of Angong Niuhuang pills.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Angong Niuhuang Pills (AGNHP), a famous Chinese medicine compound preparation, is widely used to treat stroke and other brain disorders. However, owing to the complexity of herbal components and diversity of production...

Regulatory practices on the genotoxicity testing of nanomaterials and outlook for the future.

Regulatory toxicology and pharmacology : RTP
The toxicity of nanomaterials(NMs) is closely tied to their physicochemical properties, such as size, shape, surface chemistry, stability in biological medium, and state of agglomeration as well to their uptake by cells. Key deficiencies in standardi...