Robotics in Screening, Diagnosis and Treatment of Breast Cancer: A Perspective View.

This perspective article aims to summarize and provide an outlook for developments around the use of robotics in the screening, diagnosis and treatment of breast cancer. We searched existing literature on the design and development of new systems and the current use of pre-existing surgical robotic systems. Robotic interventions for breast palpation and biopsy under ultrasound and MRI guidance are being developed and tested on simulated breast phantoms.

A spatio temporal spectral framework for plant stress phenotyping.

Background: Recent advances in high throughput phenotyping have made it possible to collect large datasets following plant growth and development over time, and those in machine learning have made inferring phenotypic plant traits from such datasets possible. However, there remains a dirth of datasets following plant growth under stress conditions along with methods for inferring them using only remotely sensed data, especially under a combination of multiple stress factors such as drought, weeds and nutrient deficiency. Such stress factors and their combinations are commonly encountered during crop production and being able to accurately detect and treat such stress conditions in an automated and timely manner can provide a major boost to farm yields with minimal resource input.