AIMC Topic: Animals

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Advances in large-scale electrophysiology with high-density microelectrode arrays.

Lab on a chip
A detailed functional characterization of electrogenic cells, such as neurons and cardiomyocytes, by means of high-density microelectrode arrays (HD-MEAs) has emerged as a powerful approach for inferring cellular phenotypes and elucidating fundamenta...

High-speed cell partitioning through reactive machine learning-guided inkjet printing.

Lab on a chip
Partitioning cells in open nanowells permits high confidence in single cell occupancy and enables flexibility in the development of different molecular assays. A challenge for this approach however is to print cells sufficiently quickly to enable exp...

SpinalTRAQ: A Novel Pipeline for Volumetric Cervical Spinal Cord Analysis Identifies the Corticospinal Tract Synaptic Projectome in Healthy and Post-stroke Mice.

eNeuro
The corticospinal tract (CST) is essential for forelimb-specific fine motor skills. In rodents, it undergoes extensive structural remodeling across development, injury, and disease states, with major implications for motor function. A vast body of li...

Recent Advances in Diagnostic Strategies and Nanotechnology-Based Therapies for Ovarian Cancer Treatment.

ACS applied bio materials
Ovarian cancer is a global silent killer in women and is the second most common cause of gynecologic cancer-related deaths. Despite significant research and advances in treatment, ovarian cancer treatment remains a challenge, as it is diagnosed in an...

De novo design of potent inhibitors of clostridial family toxins.

Proceedings of the National Academy of Sciences of the United States of America
remains a leading cause of hospital-acquired infections, with its primary virulence factor, toxin B (TcdB), responsible for severe colitis and recurrent disease. The closely related toxin, TcsL, from , causes a rarer but often fatal toxic shock synd...

Motor unit number estimation based on convolutional neural network.

Journal of neural engineering
. The compound muscle action potential (CMAP) scan contains a muscle's detailed stimulus-activation information and thereby can be used for motor unit number estimation (MUNE). Due to the challenges in accurately obtaining the motor unit numbers from...

A machine learning framework for estimating the probability of blacklegged tick population establishment in eastern Canada using Earth observation data.

PloS one
Ixodes scapularis ticks are the primary vector of Lyme disease (LD) in North America, and their range has expanded into southeastern and southcentral Canada with climate change. This study presents a comprehensive machine learning (ML) framework to e...

Synergistic analgesic effects of astaxanthin combined with celecoxib on a mouse bone cancer pain model: From behavioral validation to target prediction.

International immunopharmacology
Bone cancer pain (BCP) is a complex condition that severely affects patients' quality of life, and its treatment remains challenging. Astaxanthin, a potent antioxidant with anti-inflammatory and neuroprotective effects, and celecoxib, a selective COX...

Harnessing AI for precision medicine and its applications in genomics, systems pharmacology, and drug discovery.

European journal of pharmacology
Artificial intelligence and machine learning are revolutionizing pharmaceutical research by enabling the rapid analysis of complex datasets and automating critical tasks throughout the drug-development process. In this review, we surveyed how artific...