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Science News for June 16, 2019


Tiny probe that senses deep in the lung set to shed light on disease

A hair-sized probe developed by scientists can measure key indicators of tissue damage deep in the lung, improving patient assessment and treatment. The technology offers fast, accurate measurements and flexibility to add more sensors, applicable to other body regions and inflammatory diseases.

SourceUniversity of Edinburgh·JournalScientific Reports·DateJun 16, 2019
Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

Interest free loans could prevent homelessness and save councils millions, according to a new study

A new study published in Public Money & Management suggests that interest-free loan schemes can help prevent homelessness and save local authorities money. The study, funded by the British Academy, details a £85,000 grant scheme in Lewisham, which has helped over 300 families escape eviction and saved the council £1 million.

SourceTaylor & Francis Group·JournalPublic Money & Management·DateJun 16, 2019

The complex fate of Antarctic species in the face of a changing climate

Scientists warn that Antarctic species are at risk due to declining oxygen levels in the ocean, which could lead to extinction for larger marine invertebrates and fish. The study found that some species have evolved mechanisms to compensate for reduced oxygen, but many large species will likely be impacted by climate change.

SourceUniversity of Plymouth·JournalPhilosophical Transactions of the Royal Society of London (B )·DateJun 16, 2019

Balancing data protection and research needs in the age of the GDPR

The EU General Data Protection Regulation (GDPR) complicates data sharing in research, with participants' consent withdrawal rights and limited data retention posing challenges. Researchers advocate for GDPR-compliant repositories and adaptable funding policies to ensure safe data sharing.

SourceEuropean Society of Human Genetics·DateJun 16, 2019

UVA scientists use machine learning to improve gut disease diagnosis

Researchers at UVA are using machine learning algorithms on biopsy images to diagnose environmental enteric dysfunction, a disease that affects hundreds of thousands of children worldwide. The technology has the potential to provide insights that evade human eyes, validate pathologists' diagnoses and shorten treatment times.

SourceUniversity of Virginia School of Engineering and Applied Science·JournalJAMA Network Open·DateJun 16, 2019