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Due to globalization, the world has changed including the microbial world. According to an opinion piece from researchers, by integrating ecology, sustainability and biomedical sciences, understanding on managing emerging infectious diseases can be

A new study proposes a framework of wearable for elderly care which utilizes machine learning methods such as semantic models and decision making systems.

Nanoparticles emerge as powerful tools due to their potential in cancer therapy. Nanoparticles specifically target and release the drug of interest the tumor site. Scientists have recently developed a mesoporous silica nanoparticle-based drug delivery system…

A new study presents a technique that allows over 24 hour flow in microfluidic devices that aims to assist researchers in their Parkinson’s research. The technique can be used in microfluidic devices for parkinson’s disease…

A group of researchers in Texas Tech University came up with two successful novel fabrication methods to pass the blood-brain barrier (BBB) in polydimethylsiloxane (PDMS) based microfluidic devices. Methods they introduce mimic the brain capillary…

Researchers studied anxiety, stress and depression via machine learning. While the results are not perfect, it shows promising results.

A new study suggests that prediction of development of postpartum depression via machine learning by considering various factors is possible.

Recent studies have shown that COVID-19 can be persistent and effect various organs. A new study investigates cognitive functions of the patients who have recovered from COVID-19.

A recent study focuses on the prediction of HER2 expression level and pathologic response after the application of neoadjuvant therapy.

CRISPR-Cas9 has been introduced as a robust tool that enables the genetic manipulation of DNA. For their discovery, Emmanuelle Charpentier and Jennifer A. Doudna was awarded the 2020 Nobel Prize in Chemistry