Biopolymers, natural polymers derived from biological sources, have gained significant importance in cutting-edge medical applications. Traits such as environmental friendliness, biodegradability, biocompatibility, and its non-toxic qualities make them essential for advancing sustainable technologies, reducing environmental harm, and offering customisable physical, chemical, and biological properties. Vibrational spectroscopic modalities like Infra-Red, Raman spectroscopies are used to extract intricate details about the bio-polymer composition and its suitability for any application. Artificial Intelligence (AI) methodologies play a large role in assisting these spectroscopic methods decipher subtle spectral features that are otherwise elusive. This chapter discusses major biopolymers that are used in medical aspects, major medical applications that they are used in and major advancements in AI methodologies that can effectively process the spectroscopic datasets.

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Integrating Artificial Intelligence Aided Vibrational Spectroscopy Applied to Medical Biopolymer Applications

  • Arathi Panicker,
  • Kiran Manoharan,
  • Srimegha Thambi,
  • Sujadevi Vijaya Gangadharan,
  • Prabaharan Poornachandran,
  • Manu Krishnan Nambudiri

摘要

Biopolymers, natural polymers derived from biological sources, have gained significant importance in cutting-edge medical applications. Traits such as environmental friendliness, biodegradability, biocompatibility, and its non-toxic qualities make them essential for advancing sustainable technologies, reducing environmental harm, and offering customisable physical, chemical, and biological properties. Vibrational spectroscopic modalities like Infra-Red, Raman spectroscopies are used to extract intricate details about the bio-polymer composition and its suitability for any application. Artificial Intelligence (AI) methodologies play a large role in assisting these spectroscopic methods decipher subtle spectral features that are otherwise elusive. This chapter discusses major biopolymers that are used in medical aspects, major medical applications that they are used in and major advancements in AI methodologies that can effectively process the spectroscopic datasets.