Editor's Choice
REVIEW PAPER
Cutting-edge AI tools revolutionizing scientific research in life sciences
1
Translmed Publishing Group, Wieluń, Poland
Submission date: 2025-01-06
Final revision date: 2025-01-31
Acceptance date: 2025-02-04
Publication date: 2025-03-31
BioTechnologia 2025;106(1):77-102
KEYWORDS
deep learningmachine learningAI-driven discoverypredictive modelingartificial intelligence2024 Nobel prizes
TOPICS
Protein sequence and structure analysis and modelingNucleic acids and protein complexesStructure prediction
ABSTRACT
Artificial intelligence (AI) is becoming a transformative force in the life sciences, pushing the boundaries of possibility. Imagine AI automating time-consuming tasks, uncovering hidden patterns in vast datasets, designing proteins in minutes instead of years, and even predicting disease outbreaks before they occur. This review explores the latest AI tools revolutionizing scientific fields, including research and data analysis, healthcare, and tools supporting scientific writing. Beyond data processing, AI is reshaping how scientists draft and share their findings, enhancing processes ranging from literature reviews to citation management. However, with great power comes great responsibility. Are we prepared for this leap? This review delves into the forefront of AI in the life sciences, where innovation meets responsibility.
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| eISSN: | 2353-9461 |
| ISSN: | 0860-7796 |
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