AIMC Topic: Models, Biological

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Scientific hypothesis generation by large language models: laboratory validation in breast cancer treatment.

Journal of the Royal Society, Interface
Large language models (LLMs) have transformed artificial intelligence (AI) and achieved breakthrough performance on a wide range of tasks. In science, the most interesting application of LLMs is for hypothesis formation. A feature of LLMs, which resu...

Model Systems of Chronic Kidney Disease: A Detailed Overview and Recent Advances.

Journal of biochemical and molecular toxicology
Experimental model systems, especially animal models, are indispensable tools to study human diseases and to develop new therapeutics. Chronic kidney disease (CKD) is a major global health problem having significantly higher rate of morbidity and mor...

A novel in silico approach for predicting unbound brain-to-plasma ratio using machine learning-based support vector regression.

Computers in biology and medicine
The blood-brain barrier (BBB) functions as a vital protective mechanism, restricting the entry of substances and xenobiotics into the central nervous system (CNS). Consequently, BBB penetration is a critical aspect of absorption, distribution, metabo...

Effect of Cumulative Exposure on the Efficacy of Paroxetine: A Population Pharmacokinetic-Pharmacodynamic and Machine Learning Analyses.

CPT: pharmacometrics & systems pharmacology
Selective serotonin reuptake inhibitors (SSRIs) are widely used in depression treatment. However, the relationship between treatment efficacy and plasma concentrations remains unclear. We assessed whether the anti-depressive response can be predicted...

Prognostication of zooplankton-driven cholera pathoepidemiological Dynamics: Novel Bayesian-regularized deep NARX neuroarchitecture.

Computers in biology and medicine
BACKGROUND: Cholera outbreaks pose significant health concerns, particularly through freshwater contamination through zooplankton serving as reservoirs for Vibrio Cholerae. Understanding these complex interactions within the aquatic ecosystem through...

From human hand joints to continuum robot: how articular surface morphology shapes flexibility and stability in template-based designs.

Bioinspiration & biomimetics
The design of continuum robots often involves a dilemma between flexibility and stiffness, where increased flexibility may reduce stiffness and control precision. The human hand achieves both power grasp and precision grasp by leveraging different jo...

Prediction of plasma concentration-time profiles in mice using deep neural network integrated with pharmacokinetic models.

International journal of pharmaceutics
Quantitative structure-activity relationship (QSAR) methods have emerged as powerful tools to streamline non-clinical pharmacokinetic (PK) studies, with extensive evidence demonstrating their potential to predict key in vivo PK parameters such as cle...

Modeling heterogeneity, commitment, and memory of bacterial spore germination.

mBio
Spores of bacteria are metabolically dormant, resistant to microbicides, and vectors of food spoilage and diseases and survive for years in their dormant state. Upon exposure to nutrient germinants, spores can rapidly return to life through germinati...

Bioinspired adaptive visual servoing control for quadrotors.

Bioinspiration & biomimetics
Since every flight ends in a landing and every landing is a potential crash, deceleration during landing is one of the most critical flying maneuvers. Here we implement a recently-discovered insect visual-guided landing strategy in which the divergen...

Leveraging large language models to compare perspectives on integrating QSP and AI/ML.

Journal of pharmacokinetics and pharmacodynamics
Two recent papers offer contrasting perspectives on integrating Quantitative Systems Pharmacology (QSP) and Artificial Intelligence/Machine Learning (AI/ML): one views QSP as the primary driver using AI/ML to enhance computational tasks, while the ot...