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From genome to clinic: The power of translational bioinformatics in improving human health.
Singh, Satyendra; Pandey, Anurag Kumar; Prajapati, Vijay Kumar.
Afiliación
  • Singh S; Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, Rajasthan, India.
  • Pandey AK; College of Biotechnology, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, Uttar Pradesh, India.
  • Prajapati VK; Department of Biochemistry, University of Delhi South Campus, Dhaula Kuan, New Delhi, India. Electronic address: vkp@south.du.ac.in.
Article en En | MEDLINE | ID: mdl-38448133
ABSTRACT
Translational bioinformatics (TBI) has transformed healthcare by providing personalized medicine and tailored treatment options by integrating genomic data and clinical information. In recent years, TBI has bridged the gap between genome and clinical data because of significant advances in informatics like quantum computing and utilizing state-of-the-art technologies. This chapter discusses the power of translational bioinformatics in improving human health, from uncovering disease-causing genes and variations to establishing new therapeutic techniques. We discuss key application areas of bioinformatics in clinical genomics, such as data sources and methods used in translational bioinformatics, the impact of translational bioinformatics on human health, and how machine learning and artificial intelligence are being used to mine vast amounts of data for drug development and precision medicine. We also look at the problems, constraints, and ethical concerns connected with exploiting genomic data and the future of translational bioinformatics and its potential impact on medicine and human health. Ultimately, this chapter emphasizes the great potential of translational bioinformatics to alter healthcare and enhance patient outcomes.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Metodologías Computacionales Límite: Humans Idioma: En Revista: Adv Protein Chem Struct Biol Asunto de la revista: BIOLOGIA / BIOQUIMICA Año: 2024 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Metodologías Computacionales Límite: Humans Idioma: En Revista: Adv Protein Chem Struct Biol Asunto de la revista: BIOLOGIA / BIOQUIMICA Año: 2024 Tipo del documento: Article País de afiliación: India