Tolod, Dan Mark Rivera (A.A. 2023/2024) From myth to machine: the role of AI in the modern quest for longevity. Tesi di Laurea in Advanced coding for data analytics, Luiss Guido Carli, relatore Alessio Martino, pp. 42. [Bachelor's Degree Thesis]

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Abstract/Index

What is aging? Prospective applications of AI in aging research. AI definition and its branches. AI in accelerating identification of biomarkers. Harnessing AI for geroprotector identification. Integrative multi-omics and AI in longevity studies. Multi-omics. The importance of multi-omics in aging. Clinical applications of multi-omics. Challenges in multi-omics research. Telomeres. Extension of lifespan by inhibiting mTOR. What is mTor? Machine learning for mTOR inhibitor search. Another mTOR inhibitor rapamycin. Other mTOR inhibitors. Genetic and bioinformatic approaches to investigating maximum lifespan (MLS) in mammals using lightGBM-SHAP, linear and Bayesian networks. Network alignment algorithms (NAA). NAA in the study of aging. Second-generation AI systems. Future concerns and ethical issues.

References

Bibliografia: pp. 40-42.

Thesis Type:	Bachelor's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair:	Advanced coding for data analytics
Thesis Supervisor:	Martino, Alessio
Academic Year:	2023/2024
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	27 Mar 2025 15:27
Last Modified:	27 Mar 2025 15:27
URI:	https://tesi.luiss.it/id/eprint/41389

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