PROBIODIGITAL.AI
Abstract: l Future advances in medical Biotechnology depend critically on the ability of medical biotechnology researchers to use advanced ProBioDigital.AI solutions effectively. l The biotechnology industry currently heavily lacks on data storage, filtering, analysis and sharing. Drug manufacturing, chemical analysis of various compounds, sequencing of RNA and DNA, enzyme studies, and other similar biological processes all require strong support from AI software solutions to move faster and reduce manual errors. l The successful implementaion of ProBioDigital.AI in medical biotechnology today are relies entirely on digital technology to function and therefore digitalization of data is the very first step towards AI application. l Digital transformation can help accelerate the development and use of AI in biotechnology by providing access to big data and automating certain tasks, which can help improve the efficiency and accuracy of research and development.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-15
- DOI
- https://doi.org/10.5281/zenodo.15030580
- Primary Topic
- Genetics, Bioinformatics, and Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00