AIMC Topic: Induced Pluripotent Stem Cells
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Non-genetic neuromodulation with graphene optoelectronic actuators for disease models, stem cell maturation, and biohybrid robotics.
Nature communications
Aug 20, 2025
Light can serve as a tunable trigger for neurobioengineering technologies, enabling probing, control, and enhancement of brain function with unmatched spatiotemporal precision. Yet, these technologies often require genetic or structural alterations o...
Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning.
Scientific reports
Jul 23, 2025
The reproducibility and robustness of many directed differentiation protocols from human induced pluripotent stem cells (hiPSCs) remain low, and the long differentiation induction period significantly limits protocol optimization. To address this, we...
Cold receptor TRPM8 as a target for migraine-associated pain and affective comorbidities.
The journal of headache and pain
Jun 23, 2025
BACKGROUND: Genetic variations in the Trpm8 gene that encodes the cold receptor TRPM8 have been linked to protection against polygenic migraine, a disabling condition primarily affecting women. Noteworthy, TRPM8 has been recently found in brain areas...
Visualizing nuclear pore complex plasticity with pan-expansion microscopy.
The Journal of cell biology
Jun 12, 2025
The exploration of cell-type and environmentally responsive nuclear pore complex (NPC) plasticity requires new, accessible tools. Using pan-expansion microscopy (pan-ExM), NPCs were identified by machine learning-facilitated segmentation. They exhibi...
Epistasis regulates genetic control of cardiac hypertrophy.
Nature cardiovascular research
Jun 5, 2025
Although genetic variant effects often interact nonadditively, strategies to uncover epistasis remain in their infancy. Here we develop low-signal signed iterative random forests to elucidate the complex genetic architecture of cardiac hypertrophy, u...
Ventricular Remodeling
Myocytes, Cardiac
Hypertrophy, Left Ventricular
Connectin
Epistasis, Genetic
Induced Pluripotent Stem Cells
Magnetic Resonance Imaging
Receptor, IGF Type 1
Heart Failure
Genome-Wide Association Study
Gene Regulatory Networks
Genetic Predisposition to Disease
Humans
Phenotype
Female
Middle Aged
Deep Learning
Aged
Male
Induced Pluripotent Stem Cells in Cardiomyopathy: Advancing Disease Modeling, Therapeutic Development, and Regenerative Therapy.
International journal of molecular sciences
May 22, 2025
Cardiomyopathies are a heterogeneous group of heart muscle diseases that can lead to heart failure, arrhythmias, and sudden cardiac death. Traditional animal models and in vitro systems have limitations in replicating the complex pathology of human c...
iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.
JCI insight
May 22, 2025
Dry age-related macular degeneration (AMD) is a leading cause of untreatable vision loss. In advanced cases, retinal pigment epithelium (RPE) cell loss occurs alongside photoreceptor and choriocapillaris degeneration. We hypothesized that an RPE-patc...
Automated inference of disease mechanisms in patient-hiPSC-derived neuronal networks.
Communications biology
May 20, 2025
Human induced pluripotent stem cells (hiPSCs)-derived neuronal networks on multi-electrode arrays (MEAs) are a powerful tool for studying neurological disorders. The electric activity patterns of these networks differ between healthy and patient-deri...
Next-Gen Therapeutics: Pioneering Drug Discovery with iPSCs, Genomics, AI, and Clinical Trials in a Dish.
Annual review of pharmacology and toxicology
Dec 17, 2024
In the high-stakes arena of drug discovery, the journey from bench to bedside is hindered by a daunting 92% failure rate, primarily due to unpredicted toxicities and inadequate therapeutic efficacy in clinical trials. The FDA Modernization Act 2.0 he...
An object detection-based model for automated screening of stem-cells senescence during drug screening.
Neural networks : the official journal of the International Neural Network Society
Nov 23, 2024
Deep learning-based cell senescence detection is crucial for accurate quantitative analysis of senescence assessment. However, senescent cells are small in size and have little differences in appearance and shape in different states, which leads to i...
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