Live Breaking News & Updates on நினா லிண்டர்

Stay updated with breaking news from நினா லிண்டர். Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

AI method can detect precursors to cervical cancer


Credit: Ulf Sirborn
Using artificial intelligence and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings. A study led by researchers at Karolinska Institutet in Sweden now shows that AI screenings of pap smears carried out with portable scanners were comparable to analyses done by pathologists. The results are published in the journal
JAMA Network Open.
Our method enables us to more effectively discover and treat precursors to cervical cancer, especially in low-income countries, where there is a serious lack of skilled pathologists and advanced laboratory equipment, says corresponding author Johan Lundin, professor at the Department of Global Public Health, Karolinska Institutet. ....

Eteläuomen Läi , Uppsala Lan , Karolinska Institutet , Mikael Lundin , Felix Kinyua , Oscar Holmstr , Leena Krogerus , Ngali Mbuuko , Jumaa Mbete , Martin Muinde , Vinod Diwan , Nina Linder , Johan Lundin , Harrison Kaingu , Uppsala University , Erling Persson Family Foundation , University Of Helsinki , Elsa Stockmann Foundation , K Albin Johansson Foundation , Institute For Molecular Medicine Finland , Swedish Research Council , Finnish Society Of Medicine , Biomedicum Foundation , Department Of Global Public Health , Kinondo Kwetu Health Services Clinic , Global Public Health ,

AI predicts efficacy of breast cancer treatment directly from tumor architecture


Date Time
AI predicts efficacy of breast cancer treatment directly from tumor architecture
Researchers from the University of Helsinki have demonstrated the possibilities of artificial intelligence-based algorithms in predicting the efficacy of a targeted cancer therapy based on the tumour tissue architecture only, without specific molecular tests. The results suggest that AI can reveal previously hidden patterns in tumour samples and allow discovery of novel tumour features predictive of outcome and efficacy of treatment.
Artificial intelligence (AI) in the form of machine learning is increasingly used in cancer research and holds great potential in support of medical diagnostics. Algorithms have already been trained to tackle many complicated tasks such as detection of cancerous tissue and tumour grading. Also, prediction of disease outcome directly from a tumour sample without expert interpretation has shown promising results. ....

Southern Ostrobothnia , Eteläuomen Läi , Heikki Joensuu , Nina Linder , Dmitrii Bychkov , Johan Lundin , Biomedicum Helsinki Foundation , University Of Helsinki , Orion Pharmos Research Foundation , Cancer Center , Hilife Helsinki Institute Of Life Sciences , Institute For Molecular Medicine Finland , Scientific Reports , Professor Johan Lundin , Finprog Study , Molecular Medicine Finland , Associate Professor Nina Linder , Professor Heikki Joensuu , Professor Johan , Precision Cancer Medicine Flagship , Sigrid Jus , Artificial Intelligence , Monoclonal Antibodies , Cancer Treatment , Machine Learning , Clinical Trials ,