Vanshika Bhatia*

Manav Rachna University, India

*Corresponding Author: SVanshika Bhatia, Manav Rachna University, India.

Received: January 21, 2024; Published: January 31, 2024

Abstract

Predictive modeling in biotechnological research is a transformative force, addressing challenges in data quality, ethical considerations, and scalability. Future directions include integrating emerging technologies, fostering cross-disciplinary collaboration, and emphasizing patient-centric and sustainable practices. The abstract underscores the role of predictive modeling as a catalyst for groundbreaking discoveries, personalized medicine, and inclusive innovation, shaping a future where innovation and responsibility converge for the betterment of humanity

Keywords: Predictive Modeling; Biotechnological Research; Challenges; Future Directions; Data Quality; Ethical Considerations; Scalability; Emerging Technologies; Cross-Disciplinary Collaboration; Patient-Centric; Sustainability; Personalized Medicine; Inclusive Innovation

References

Citation

Citation: Vanshika Bhatia., et al. “Predictive Modeling in Biotechnical Research".Acta Scientific Biotechnology 5.1 (2024): 09-14.

Copyright

Copyright: © 2024 Vanshika Bhatia., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.