Srabani Roy Chowdhury (MAKAUT, WB) The introduction of electronic health records has risen the hope of saving time and improving the quality of patient care. But due to fragmented interfaces and hectic procedures involved in data entry, doctors and other medical staff require more time for navigating these systems than interacting with patients. Machine Learning […]
Aqsa, Jamia Millia Islamia The causative agent of the current pandemic is the Severe Acute Respiratory Syndrome (SARS-CoV), belonging to a large family of viruses called Coronaviruses. The incubation period for COVID-19 is roughly 14 days. In an infected person, the symptoms usually appear five days after the initial infection. A very small percentage of […]
Saptaparna Dasgupta, Bennett University With recent microscopy improvements, cell-size data sets may be generated by capturing cell activity. The Lattice Light Sheet Microscope (LLSM) pictures cells at fast speed and high 3D resolution, collecting data over hours at 100 frames/seconds. The LLSM imaging gave fresh insights into the complicated immune cell surface behaviour, including the […]
Kanikah Mehndiratta, MSc, University of Glasgow Understanding the association between diseases and the potential genes involved can be challenging. Usually, scientists prefer biomedical experiments to explore the underlying genetics of a complex disease. But the experiments turn out to be very expensive and time consuming. They also pose risk for human error which can lead […]
Laiba Saleem, Aligarh Muslim University Artificial Intelligence (AI) is not any doubt the core way forward for IT, and together with machine learning and data science it holds significant potential in majority fields, and the medicinal industry is not any stranger thereto. From medical/surgical robotics to microchips containing the anamnesis of patients, AI has come […]
Vaishnavi Kardale, Bioinformatics Centre, Savitribai Phule Pune University Machine learning has been useful to us in several ways. It has helped in the development of self-driving cars, google assistant, weather prediction, image recognition, language translation, you-tube recommendation, and much more. Machine learning finds it to be very helpful in biology, health informatics, and medical sciences […]
Sayak Banerjee, Amity University Kolkata Intra-tumor Heterogeneity ( ITH) Aggregation of a distinct set of somatic mutations leads to the generation of tumors. The set of mutations assembled by the prime tumor is known as clonal and the mutations which take place in pre-existing tumors comprise cancer cell sub-populations is known as subclonal. Consequently, the […]
Saakshi Bangera, DY Patil School of Biotechnology and Bioinformatics Sarah Nyquist is a PhD candidate in MIT’s computational and systems biology department who attempted to use machine learning to understand the genomic composition of breast milk. Along with her co-advisor professors – Alex Shalek and Bonnie Berger, she aimed at using computational tools to study […]
Vaishnavi Kardale, Bioinformatics Centre, Savitribai Phule Pune University For the past one and a half years, we have been struggling with COVID19. The deadly pandemic has taken millions of lives all over the world. Meanwhile, the huge demand has deaccelerated the vaccine rollout. The plan to deal with COVID19 includes extensive testing, contact tracing, quarantining, […]
Parnad Basu, Amity University Kolkata Scientists never stop researching something until they can find effective and affordable methods to fight the problems. Biosensors are devices that are used to detect the presence or concentration of an analyte. Scientists have been trying to use biosensor to detect viruses and bacteria. Biosensors can be of several types, […]
