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Machine learning lets scientists reverse-engineer cellular control networks

Researchers have developed a machine learning model that can predict the outcome of cellular interactions and design new cancer treatments. The Stampede supercomputer enabled the team to run billions of simulations, allowing them to identify patterns in the data and create a system capable of predicting laboratory results.

Regenerative medicine improves strength and function in severe muscle injuries

Researchers at the University of Pittsburgh School of Medicine and McGowan Institute for Regenerative Medicine showed significant improvement in strength and range of motion, as well as evidence for skeletal muscle regeneration in patients treated with bioscaffolds. The study demonstrated the effectiveness of regenerative medicine in i...

SourceUniversity of Pittsburgh Schools of the Health Sciences·Journalnpj Regenerative Medicine·DateJul 21, 2016

Why do aged muscles heal slowly?

Researchers found that a protein called b1-integrin is crucial for muscle regeneration in aged muscles. The team's study provides a promising target for therapeutic intervention to combat muscle aging or disease. By restoring the function of b1-integrin, regenerative abilities were restored to youthful levels in mice with aged muscles.

SourceCarnegie Institution for Science·JournalNature Medicine·DateJul 5, 2016

Discovery in roundworms may one day help humans with spinal cord injury and paralysis

Researchers found a novel neuron regeneration pathway in C. elegans that could lead to treatments for human spinal cord injury and paralysis. The discovery sheds light on the adult human nervous system's ability to regenerate, which is essential for restoring health to people with permanent neurological damage.

SourceBoston University School of Medicine·JournalProceedings of the National Academy of Sciences·DateApr 11, 2016

Mapping out cell conversion

Researchers developed an algorithm called Mogrify that predicts the unique set of cellular factors required for converting one human cell type to another. This breakthrough has significant implications for regenerative medicine and lays the groundwork for further research into cell reprogramming.

SourceDuke-NUS Medical School·JournalNature Genetics·DateJan 18, 2016

Planarian regeneration model discovered by artificial intelligence

Researchers at Tufts University developed an algorithm that used evolutionary computation to predict the results of published laboratory experiments on planarian regeneration. The approach identified a comprehensive regulatory network that correctly predicted all 16 key experiments, shedding light on the mechanisms behind head-tail pat...

SourceTufts University·JournalPLOS Computational Biology·DateJun 4, 2015

Mass. General team develops transplantable bioengineered forelimb in an animal model

A team of Massachusetts General Hospital investigators has developed a bioartificial replacement limb suitable for transplantation using an experimental approach previously used to build bioartificial organs. The researchers successfully engineered rat forelimbs with functioning vascular and muscle tissue, and provided evidence that th...

SourceMassachusetts General Hospital·JournalBiomaterials·DateJun 2, 2015

UAlberta research reveals new possibilities for islet and stem cell transplantation

Researchers have developed a new technique for islet transplantation under the skin, which shows promise in reversing diabetes in preclinical models. This approach harnesses the body's natural ability to respond to a foreign body by growing new blood vessels, offering a safer and more reliable treatment option.

Give progesterone a chance

Researchers suggest progesterone as a potential treatment for spinal cord injury due to its anti-inflammatory and neuroprotective properties. Studies demonstrate that progesterone preserves white matter integrity and improves locomotor function in animal models of spinal cord lesion.

SourceNeural Regeneration Research·JournalNeural Regeneration Research·DateSep 15, 2014