A team of experts from the University of Barcelona and the company Sensofar Tech have designed an innovative technology to obtain three-dimensional images of a study sample quickly, accurately and non-invasively. The work has been published in Nature Communications.
The next innovation in cancer treatment could be to test all possible drugs on thousands of miniature versions of a person’s tumour, grown in the lab, to see which works the best. The technique, sometimes called drug sensitivity testing, may have already helped a few children with advanced cancer live for longer than the standard approach.
It could eventually become routinely used for everyone with cancer, says Diana Azzam at Florida International University in Miami. “I would say it will help guide treatments in any [cancer], whether it’s aggressive or not.”
Is the most advanced water-from-air generator on the market. It’s an innovative and simple solution to supply fresh, safe drinking water.
Vishal Sharma shares his insights on how innovations in generative AI will help everyone (and everything) on Earth.
The Fayetteville, Ark. metro area had a 144% increase in the number of patents granted over a 10-year period.
Lithium-lined tokamaks can help keep the plasma hot and stable while also providing more room for it to move inside the donut-shaped vessel.
Thiruvananthapuram: CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST) has pioneered a groundbreaking technology for the safe, sustainable, and cost-effective management of biomedical waste, marking a significant milestone as the first of its kind in the country.
This innovative technology was unveiled at the Biomedical Waste Management Conclave, a one-day event hosted at the CSIR-NIIST campus in the city on March 26.
According to UNI, Dr M Srinivas, Director, AIIMS New Delhi, inaugurated the meet, which was presided over by Dr N Kalaiselvi, Secretary, DSIR and Director General, CSIR, through videoconferencing.
Can light be a factor in eliminating traumatic memories? Japanese scientists found that the long-term memory of flies can be affected if they are kept in the dark. This is the first discovery of the role of environmental light on such memories. The scientists hope to extend this approach to human victims of life-affecting traumas.
Events that are shocking can become a part of our long-term memory (LTM), with new proteins synthesized and the neuronal circuits in our brain becoming altered, explains the press release from researchers at the Tokyo Metropolitan University, who made the breakthrough. These memories can be hard to erase and may lead to post-traumatic stress disorder (PTSD).
Through their research, the team led by Professor Takaomi Sakai from Tokyo Metropolitan University discovered a particular molecular mechanism in Drosophilia flies that affects LTM. To find this, they set up a trauma for male flies by placing them with females who already mated. According to the courtship conditioning paradigm, in such situations mated females stress the unmated males to such an extent that they remember the experience, unwilling to ever mate with any more females – even if they were to be exposed to those that are unmated.
A research team from City University of Hong Kong (CityU) recently successfully achieved lattice-mismatch-free construction of III-V/chalcogenide core-shell heterostructure nanowires for electronic and optoelectronic applications. This breakthrough addresses crucial technological challenges related to the lattice mismatch problem in the growth of high-quality heterostructure semiconductors, leading to enhanced carrier transport and photoelectric properties.
These two chips might be the key to developing sophisticated brain-computer interfacing.
Scientists from the University of Electronic Science and Technology of China claim to have developed the world’s most energy-efficient artificial intelligence AI microchips that are small enough to fit inside smart devices and could open doors for innovative offline functions like voice and even mind control.
Generally, AI chips that are designed for heavy tasks often require significant power because of high computational demands, which limits their use in real-world scenarios. Professor Zhou Jun and his team managed to significantly reduce power consumption through algorithm and architectural optimization.
