AIMC Topic: Regeneration

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Quantum machine learning driven optimization of nutrient-hormone interactions for enhanced in vitro regeneration of common bean.

BMC plant biology
Common bean (Phaseoulus vulgarsis) is an important edible legume crop, but its improvement through modern biotechnological tools has been limited due to the lack of efficient and reproducible in vitro regeneration protocols. This bottleneck restricts...

Alginate-based 3D bioprinting strategies for structure-function integrated tissue regeneration.

Journal of materials chemistry. B
Alginate-based biomaterials have been widely used for tissue repair and regeneration, owing to their tunability, biocompatibility, biodegradability, and low cytotoxicity. With the rapid advancement of bioprinting technology, alginate has increasingly...

Microenvironment-driven satellite cell regeneration and repair in aging-related sarcopenia: mechanisms and therapeutic frontiers.

Stem cell research & therapy
Sarcopenia, a progressive age-related decline in skeletal muscle mass and function, is closely linked to impaired regenerative capacity of satellite cells (SCs), also known as satellite cells. Age-dependent SCs dysfunction, driven by intrinsic senesc...

Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach.

Scientific reports
Pulpal inflammation and regeneration are crucial for enhancing endodontic treatment outcomes. Transcriptomic studies highlight the involvement of proinflammatory cytokines, NF-κB signaling, and stem cell activity. This study employs a generative AI a...

Unsupervised learning reveals rapid gait adaptation after leg loss and regrowth in spiders.

The Journal of experimental biology
Many invertebrates voluntarily lose (autotomize) limbs during antagonistic encounters, and some regenerate functional replacements. Because limb loss can have severe consequences on individual fitness, it is likely subject to significant selective pr...

iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.

JCI insight
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...

Ultrasound-activated piezoelectric biomaterials for cartilage regeneration.

Ultrasonics sonochemistry
Due to the low density of chondrocytes and limited ability to repair damaged extracellular matrix (ECM) in cartilage, many patients with congenital or acquired craniofacial trauma require filler graft materials to support facial structure, restore fu...

Predicting inflammatory response of biomimetic nanofibre scaffolds for tissue regeneration using machine learning and graph theory.

Journal of materials chemistry. B
Tissue regeneration after a wound occurs through three main overlapping and interrelated stages namely inflammatory, proliferative, and remodelling phases, respectively. The inflammatory phase is key for successful tissue reconstruction and triggers ...

Application of machine learning in in vitro propagation of endemic Lilium akkusianum R. Gämperle.

PloS one
A successful regeneration protocol was developed for micropropagation of Lilium akkusianum R. Gämperle, an endemic species of Türkiye, from scale explants. The study also aimed to evaluate the effects of Meta-Topolin (mT) and N6-Benzyladenine (BA) on...

Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation.

PloS one
BACKGROUND: Public satisfaction is the ultimate goal and an important determinant of China's urban regeneration plan. This study is the first to use massive data to perform sentiment analysis of public comments on China's urban regeneration.