In a critical analysis of India’s economic data, the International Monetary Fund (IMF) has given a ‘C,’ or the second-lowest ...

Courses include Electric and Hybrid Vehicles, Statistical Data Analysis and Deep Learning, and Advanced Optical Diagnostic ...

Single-cell genome sequencing techniques have recently emerged, enabling high-throughput transcriptome profiling at the level of individual cells. Among ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Artificial intelligence (AI) is rapidly reshaping the landscape of leukemia diagnosis, offering new possibilities for earlier detection, more precise classification, and improved patient care, ...

High-throughput technologies have produced vast multi-omics datasets (genomics, transcriptomics, epigenomics, proteomics) from large cancer initiatives such ...

Digital assets, which include cryptocurrencies, stablecoins, non-fungible tokens, and tokenized securities, are used in ...

Although some outcomes showed small to medium effect sizes, these results must be interpreted cautiously given the presence ...

In this interview, Kalpana Barnes highlights how new approach methodologies are addressing the gaps in drug discovery studies ...

Most companies today are building their AI strategy around structured data because unstructured data is operationally hard.

Objectives Understanding contextual drivers of family planning is crucial for designing effective, context-specific policies and programmes. This study aimed to assess (1) the extent to which province ...

Press Advantage announced today that an independent analysis of its press release distribution network demonstrates that each distributed release generates backlinks with an equivalent market value ...