Machine Learning approaches serve as well-known and significant in the field of clinical research. The scope of cardiovascular diseases (CVD) influence the heart and nerves is a typical study during the human life cycle. Early identification of cardiovascular infection and procedures prompted the survival chances of patients to decrease vulnerability.
More Details
The RCAI team designed an innovative, reliable and cost-efficient oxygen gas pressure monitoring device that is equipped with all the state of the art sensors required to monitor gas levels. It starts by vigilantly monitoring the oxygen gas levels in the cylinder or tank; it keeps collecting data and makes decisions accordingly.
More Details
Cerebral tuberculosis (TB) is one of the neurological manifestations of tuberculosis infections responsible for devastating sequelae and mortality. It is a challenge to diagnose as it mimics other infectious and neoplastic pathologies of the brain. There is a need for rapid and accurate diagnostic approaches, in order to prevent the dismal outcomes arising as a result of delayed or incorrect diagnosis.
More Details
The communication gap in a professional setting often results in low productivity and less efficiency of an organization. In this modern era, people are more vocal and open about their opinions on social media than in a professional environment.
More DetailsDeep and organ space surgical site infections (SSI) require more intensive treatment, cause more clinically severe disease and may have different risk factors compared to superficial SSIs. Machine learning (ML) algorithms may be used to analyze multiple factors for prediction of type and time of development of SSI.
More Details