AIMC Topic: Rats

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Implementation of reconfigurable logic-in memory in a cultured neuronal network with a crossbar structure.

Lab on a chip
The concept of logical neural networks, proposed by McCulloch and Pitts, along with Hebb's postulate of learning-specifically, spike-timing-dependent plasticity (STDP), has had a substantial influence on the development of brain-inspired computing re...

Artificial intelligence-enabled "inherited noninvasive intracellular recording" for prolonged monitoring of cardiac action potentials.

Science advances
Intracellular action potential (AP) recording that allows long-term monitoring is challenging because permanent membrane penetration is impossible due to cell death or resealing of perforated cell membrane. Herein, an "inherited noninvasive intracell...

Properties of AgNPs stabilized with polyvinylpyrrolidone relevant to antidiabetic agents.

Nanoscale
Type 2 diabetes mellitus (DM2) is a chronic metabolic disease. Silver nanoparticles (AgNPs) show promise in their treatment. This study assessed the potential of AgNPs as DM2 treatment agent using in vitro, in vivo, and machine learning approaches. M...

Ultrasound and SWE-based transfer learning for predicting fibrotic NASH.

Scientific reports
The aim of this study was to develop a combined deep-learning model utilizing liver ultrasound, liver elastography images, and clinical features to predict and diagnose fibrotic non-alcoholic steatohepatitis (NASH). A rat model of liver steatosis and...

An electrical pulse artifact signal for estimating arterial blood pressure: a proof-of-concept study.

Physiological measurement
Hypertension is a leading cause of mortality worldwide, for which myriad treatment options are available. It is widely considered that continuous measurement of arterial blood pressure (BP) could improve the treatment of hypertension; however, chroni...

Unraveling the Mechanisms of Osteoporosis Triggered by Methylparaben and Monomethyl Phthalate through Integrated Mendelian Randomization, In Silico Simulations, and Experimental Validation.

Environmental science & technology
Endocrine-disrupting chemicals (EDCs) are pervasive environmental hazards that have been linked to osteoporosis (OP), though causal mechanisms remain elusive. Employing an integrated multiomics framework, this study combined bidirectional Mendelian r...

AI-powered printability evaluation framework for 3D bioprinting using Hausdorff distance metrics.

Biofabrication
3D bioprinting enables rapid fabrication of complex biological structures for tissue engineering applications. However, optimizing bioink formulation remains challenging due to complex relationships among material properties, printability, and cell v...

Deep learning reveals endogenous sterols as allosteric modulators of the GPCR-Gα interface.

eLife
Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for unbiased cavity identification, cavity-specific li...

Rat robot autonomous border detection based on wearable sensors.

Bioinspiration & biomimetics
Bio-robots, a novel type of robot based on a brain-machine interface, have shown great potential in search and rescue tasks. Current research is focused on the bio-robot itself, such as locomotion, localization and navigation, but lacks interactions ...

Rapid screening for acute rheumatic fever using machine learning analysis of host tissue reactive antibodies.

Scientific reports
Acute Rheumatic Fever and Rheumatic Heart Disease (ARF/RHD) affect over 45 million people globally. ARF/RHD are autoimmune complications following group A streptococcal infections. Current diagnosis of ARF requires thorough medical examination, echoc...