- Customer churn and segmentation
- Bacteriophages and microbial interactions
- Artificial Intelligence in Healthcare
- AI in cancer detection
- Monoclonal and Polyclonal Antibodies Research
- Nutritional Studies and Diet
- Glycosylation and Glycoproteins Research
- AI and HR Technologies
- Cancer Risks and Factors
- Healthcare Systems and Public Health
Manav Rachna International Institute of Research and Studies
2023-2024
University of Delhi
2013
Today, the Healthcare sector is generating bulks of data be it from medical history patients to their personal details, clinical data, or genetic data. Electronic Health Records (EHR), very complex and varied hence cannot processed using traditional manual tools. Hence, Data Mining Analysis used extensively in Industry uncover hidden patterns relationships study similarity between patients, identify symptoms diagnose disease at an early stage so that proper treatment could given well time....
Phagemid-based expression of cloned genes fused to the gIIIP coding sequence and rescue using helper phages, such as VCSM13, has been used extensively for constructing large antibody phage display libraries. However, randomly primed cDNA gene fragment libraries, this system encounters reading frame problems wherein only one 18 phages translated foreign peptide/protein phagemid-encoded gIIIP. The elimination carrying out-of-frame inserts is vital in order improve quality In study, we designed...
Presently All Types of cancers can be detected using artificial intelligence and data mining technologies. These technologies recognize patients who have or don't illnesses. In the early stage, use machine learning technology is intended to deliver precise rapid diagnosis findings. Cancer has become one most common diseases whose mortality rate rising at an alarming speed. The severity condition greater in industrialized nations, where females are more likely get issues breast cancer. When...