Researchers at the Brigham and Women’s Hospital have developed a deep learning algorithm which can identify lung cancer tumors on a computed tomography scan within seconds. This will help radiation oncologists to work quickly and achieve greater consistency in segmenting tumors.

Global heating could become “catastrophic” for humanity if temperature rises are worse than many predict or cause cascades of events we have yet to consider, or indeed both. The world needs to start preparing for the possibility of a “climate endgame”, say experts.

What's all the buzz around futuristic labs or Labs of the Future?  // The adoption of next-gen technologies in order to come up with pioneering solutions in a highly-efficient environment is one of the central features of the Lab of the Future but is its development practical or a mere fantasy? Read on to find out…

In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images. Using the AI system can help her make faster diagnoses, but how does she know when to trust the AI’s predictions?

Sample management has changed enormously over the intervening years.  // In the beginning, sample management often meant storing samples in unlabelled tubes in a freezer in a cupboard, or even in the car park! The only labelling then was writing on the rack or on the bag. In rare cases there might be a 1D barcode on the side of the rack. Databases were just Word or Excel files, and there was no concept of having sophisticated tracking for chemical compounds. This has changed totally in the last 20 years, from a rudimentary start. Later, sample management began to be taken as a genuine serious discipline as organizations realized that their compound libraries were highly valuable.

Researchers at the Riken Center for Biosystems Dynamics Research in Japan have created a robotic artificial intelligence (AI) system for autonomously determining the optimal conditions for growing replacement retina layers necessary for vision. The system was used to conduct a trial-and-error process which helped in improving cell culture recipes used in regenerative medicine.

A robot operating with a popular Internet-based artificial intelligence system consistently gravitates to men over women, white people over people of color, and jumps to conclusions about peoples’ jobs after a glance at their face, a study led by Johns Hopkins University, Georgia Institute of Technology, and University of Washington researchers finds.

An AI tool was assessed by researchers to predict cancer risk in lung nodules. The study was led by the Perelman School of Medicine, University of Pennsylvania and the model seems to work equally well on diagnostic CT and low-dose screening CT.

Reef health can be measured with the help of sound recordings. Scientists at the University of Exeter conducted a study in which a computer algorithm was trained to identify healthy and degraded reefs based on numerous recordings. The result showed that the computer successfully identified reef health 92 % of the time.

A new technique developed by the National Center for Atmospheric Research (NCAR) uses artificial intelligence to efficiently update the vegetation maps that are relied on by wildfire computer models to accurately predict fire behavior and spread.