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Tufts University


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

3-D engineered bone marrow makes functioning platelets

Researchers create first three-dimensional tissue system that reproduces human bone marrow and generates functional human platelets. The system provides a laboratory model for studying blood disorders and predicting drug efficacy, with potential applications in regenerative medicine and patient-specific treatments.

SourceTufts University·JournalBlood·DateFeb 18, 2015

Wireless electronic implants stop staph, then dissolve

Researchers at Tufts University have developed a resorbable electronic implant that eliminates bacterial infection by delivering heat to infected tissue via wireless signals. The devices were found to be safe and effective in mice, dissolving completely after 15 days without causing harm.

SourceTufts University·JournalProceedings of the National Academy of Sciences·DateNov 24, 2014

Bioengineers make functional 3-D brain-like tissue model

The Tufts team created a modular design that replicated fundamental features relevant to the brain's tissue-level physiological functions. The model exhibits biochemical and electrophysiological responses, offering new options for studying brain function, disease, and trauma, and treatment.

SourceTufts University·JournalProceedings of the National Academy of Sciences·DateAug 11, 2014

Teaching robots right from wrong

A team of scientists from Tufts University, Brown University, and Rensselaer Polytechnic Institute is working on a project to create robots capable of making moral decisions. The researchers aim to develop formal frameworks for modeling human-level moral reasoning that can be verified and implemented in computational architectures.

Researchers see hospitalization records as additional tool

A study by Tufts University researchers found that comparing hospitalization records with local health data provides a more accurate way to monitor disease outbreaks. The analysis revealed that some municipalities had significantly lower surveillance-to-hospitalization ratios, indicating potential underreporting of cases.

SourceTufts University·JournalPLOS ONE·DateApr 16, 2014

Ectopic eyes function without connection to brain

Scientists at Tufts University have shown that transplanted eyes can confer vision without a direct neural connection to the brain. The study used frog models and found that ectopic eyes could 'see' and elicit responses similar to those of animals with natural eyes.

SourceTufts University·JournalJournal of Experimental Biology·DateFeb 27, 2013

Bioelectric signals can be used to detect early cancer

Biologists at Tufts University have identified a unique bioelectric signal in cells that are likely to develop into tumors, which they can use to detect early cancer. By manipulating the electrical charge across cells' membranes, they can lower the incidence of cancerous cells and suppress abnormal cell growth.

SourceTufts University·JournalDisease Models & Mechanisms·DateFeb 1, 2013

Implantable silk optics multi-task in the body

The devices offer significant improvement in tissue imaging while simultaneously enabling photo thermal therapy, administering drugs and monitoring drug delivery. The biodegradable and biocompatible micro-mirrors dissolve harmlessly at predetermined rates, requiring no surgery to remove them.

SourceTufts University·JournalProceedings of the National Academy of Sciences·DateNov 28, 2012

Optical mammography sheds new light on breast cancer

A new optical imaging technology, developed at Tufts University School of Engineering, uses near infrared light to scan breast tissue and can identify water, fats, and oxygen-rich and oxygen-poor tissue. This non-invasive technique could complement standard mammography, particularly for women with dense breast tissue.