IIT Delhi scientists develop AI-based system to detect malaria, TB, cervical cancer
The microscopy tool is particularly suited to diagnose conditions in low-resource, disease burdened areas.


Representational image.[/caption]Suri, who is leading the team of researchers, said microscopy is particularly well adapted to low-resource, high disease burden areas, being both simple and versatile; even for diagnostic tasks. While newer technologies are available for diagnosis, the cost of specialised equipment may render it impractical in such places, he said."In contrast to alternatives such as rapid diagnostic tests, however, a microscopy-based diagnosis does depend on the availability of skilled technicians, of which there is a critical shortage. As a result, diagnoses are often made on the basis of clinical signs and symptoms alone, which is error-prone and leads to higher mortality, drug resistance, and the economic burden of buying unnecessary drugs," the professor said."There is, therefore, need for alternatives which can help in providing the access to quality diagnosis that is currently routinely unavailable," he added.

Careless Whispers: Scientists discover that plants can 'talk' to each other using smells
Life on Mars? European Space Agency’s Orbiter discovers ice water deposits at equator
Microsoft briefly overtakes Apple as the most valuable company, Apple back on top again
Even NASA is facing a tough time, starts layoffs following major budget cuts
ISRO, NASA's NISAR satellite to get ready by Jan-end, will monitor Earth's snow-covered regions
