Page 13 - Institute Of Advanced Study In Science News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Onion peel gives gold - The Hindu BusinessLine

Onion peel gives gold - The Hindu BusinessLine
thehindubusinessline.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from thehindubusinessline.com Daily Mail and Mail on Sunday newspapers.

Devasish chowdhuryInstitute of advanced study in scienceDepartment of scienceAdvanced studyAssociate professorதேவசிஷ் சவுத்ரிதுறை ஆஃப் அறிவியல்இணை ப்ரொஃபெஸர்

Importance of nature and culture-based solutions for biodiversity conservation discussed on International Day of Biological Diversity

May 25, 2021 Director of IASST Prof. Ashis K. Mukherjee stressed that biodiversity gives the answer to several sustainable development challenges, and we should give our best efforts to save and conserve the biodiversity from extinction. He was speaking on the International Day of Biological Diversity at the online programme organised as part of the celebrations of the 75th year of India’s independence: Azadi ka Amrit Mahotsava on May 22, 2021. He also mentioned that Bio-Diversity & Eco-System is one of the thrust areas of research at IASST and highlighted the different biodiversity-related ongoing research projects in this institute. The programme was attended by several dignitaries, including faculty members, staff, and research scholars of the Institute via an online digital platform following the Covid-19 protocol. Scientists like Dr Tania Das Paul from BioNest (Bioincubators Nurturing Entrepreneurship for scaling technologies) Facility and Dr Debasish Chowdhury took part in

New delhiTania das paulRamesh krishnamurthyDebasish chowdhuryPaschim boragaonAazadi ka amrit mahotsavaInternational day for biological diversityInstitute of advanced study in scienceDepartment of science technologyDevelopment agenda sustainable goalsWildlife institute of indiaInternational day of biological diversityInternational dayWildlife instituteAdvanced studyBiological diversity

Using artificial intelligence for cancer detection - The Hindu BusinessLine

TEAM QUANTUM Scientists at the Institute of Advanced Study in Science and Technology (IASST), Guwahati, have developed a deep-learning-based (part of artificial intelligence) method to evaluate hormone status for prognosis of breast cancer. This approach will help in early detection of the cancer. Breast cancer is the most common invasive cancer, accounting for 14 per cent of cancers among Indian women, both in rural and urban India. The post-cancer survival rate related to breast cancer was reported to be 60 per cent. Cancer detection has always posed a major challenge. Medical professionals use several techniques for detection, such as X-ray, computer tomography (CT) scan, positron emission tomography (PET), ultrasound, and magnetic resonance imaging (MRI), besides pathological tests such as urine and blood examination.

Lipib mahantaInstitute of advanced study in scienceB borooah cancer instituteNumerical sciences divisionDepartment of scienceAdvanced studyCentral computationalஎண் அறிவியல் பிரிவுதுறை ஆஃப் அறிவியல்மைய கணக்கீட்டு

IASST deploys deep learning network for breast cancer prognosis

IASST deploys deep learning network for breast cancer prognosis IASST deploys deep learning network for breast cancer prognosis 17 March 2021 | News The team developed an algorithm that indicated whether or not the cancer cells have hormone receptors on their surface Source: PIB A team from the Institute of Advanced Study in Science and Technology (IASST) in Guwahati, an autonomous institute of the Department of Science & Technology, Govt of India, has presented the novel deep learning (DL) based quantitative evaluation of oestrogen or progesterone status with the help of Immunohistochemistry (IHC) specimen to grade for prediction of breast cancer. The scientists developed a classification method based on deep learning (DL) network to evaluate hormone status for prognosis of breast cancer.

Lipib mahantaInstitute of advanced study in scienceDepartment of science technologyB borooah cancer instituteAdvanced studyApplied softDeep learningBreast cancerOestrogen receptorAllred cancer scoreProgesterone receptorதுறை ஆஃப் அறிவியல் தொழில்நுட்பம்பயன்படுத்தப்பட்டது மென்மையானஆழமான கற்றல்மார்பக புற்றுநோய்ஆல்ரெட் புற்றுநோய் மதிப்பெண்

Classification method based on Deep Learning (DL) network, for evaluation of hormone status, can predict progression of breast cancer

Scientists have developed a classification method based on Deep Learning (DL) network to evaluate hormone status for prognosis of breast cancer. The proposed framework is a reliable alternative to manual methods for automatic grading systems used to

Lipib mahantaInstitute of advanced study in scienceDepartment of science technologyB borooah cancer instituteDeep learningAdvanced studyதுறை ஆஃப் அறிவியல் தொழில்நுட்பம்ஆழமான கற்றல்