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Advancing Drug Discovery with AI: Machine and Deep Learning Strategies for Target Identification and Precision Nanomedicine.

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Title: Advancing Drug Discovery with AI: Machine and Deep Learning Strategies for Target Identification and Precision Nanomedicine.
Authors: Chakraborty A; Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, Haringhata, Nadia, West Bengal, 741249, India., Gholap AD; Department of Pharmaceutics, St. John Institute of Pharmacy and Research, Palghar, Maharashtra, 401404, India., Khuspe PR; Department of Pharmaceutics, Shriram Shikshan Sanstha's College of Pharmacy, Paniv, Solapur, Maharashtra, 413113, India., Sundaram G; PG & Research Department of Physics, Cauvery College for Women (Autonomous), Tiruchirappalli, Tamil Nadu, India., Webster TJ; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, People's Republic of China.; Program in Materials, Universidade Federal do Piauí, Teresina, Brazil.; Division of Pre-college and Undergraduate Studies, Brown University, Providence, RI, USA.; Department of Pharmacy, University of the Basque Country, Vitoria-Gasteiz, Spain., Khalid M; James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.; Sunway Centre for Electrochemical Energy and Sustainable Technology (SCEEST), Faculty of Engineering and Technology, Sunway University, Selangor, Malaysia.; University Centre for Research and Development, Chandigarh University, Mohali, Punjab, 140413, India., Haris MS; Universiti Kuala Lumpur, Royal College of Medicine Perak (UniKL RCMP), Faculty of Pharmacy and Health Sciences, Perak, Malaysia., Faiyazuddin M; Universiti Kuala Lumpur, Royal College of Medicine Perak (UniKL RCMP), Faculty of Pharmacy and Health Sciences, Perak, Malaysia.; Centre for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Source: International journal of nanomedicine [Int J Nanomedicine] 2026 Jun 09; Vol. 21, pp. 600651. Date of Electronic Publication: 2026 Jun 09 (Print Publication: 2026).
Publication Type: Journal Article; Review
Journal Info: Publisher: DOVE Medical Press Country of Publication: New Zealand NLM ID: 101263847 Publication Model: eCollection Cited Medium: Internet ISSN: 1178-2013 (Electronic) Linking ISSN: 11769114 NLM ISO Abbreviation: Int J Nanomedicine Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Advancing Drug Discovery with AI: Machine and Deep Learning Strategies for Target Identification and Precision Nanomedicine.
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  Data: <searchLink fieldCode="AU" term="%22Chakraborty+A%22">Chakraborty A</searchLink>; Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, Haringhata, Nadia, West Bengal, 741249, India.<br /><searchLink fieldCode="AU" term="%22Gholap+AD%22">Gholap AD</searchLink>; Department of Pharmaceutics, St. John Institute of Pharmacy and Research, Palghar, Maharashtra, 401404, India.<br /><searchLink fieldCode="AU" term="%22Khuspe+PR%22">Khuspe PR</searchLink>; Department of Pharmaceutics, Shriram Shikshan Sanstha's College of Pharmacy, Paniv, Solapur, Maharashtra, 413113, India.<br /><searchLink fieldCode="AU" term="%22Sundaram+G%22">Sundaram G</searchLink>; PG & Research Department of Physics, Cauvery College for Women (Autonomous), Tiruchirappalli, Tamil Nadu, India.<br /><searchLink fieldCode="AU" term="%22Webster+TJ%22">Webster TJ</searchLink>; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, People's Republic of China.; Program in Materials, Universidade Federal do Piauí, Teresina, Brazil.; Division of Pre-college and Undergraduate Studies, Brown University, Providence, RI, USA.; Department of Pharmacy, University of the Basque Country, Vitoria-Gasteiz, Spain.<br /><searchLink fieldCode="AU" term="%22Khalid+M%22">Khalid M</searchLink>; James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.; Sunway Centre for Electrochemical Energy and Sustainable Technology (SCEEST), Faculty of Engineering and Technology, Sunway University, Selangor, Malaysia.; University Centre for Research and Development, Chandigarh University, Mohali, Punjab, 140413, India.<br /><searchLink fieldCode="AU" term="%22Haris+MS%22">Haris MS</searchLink>; Universiti Kuala Lumpur, Royal College of Medicine Perak (UniKL RCMP), Faculty of Pharmacy and Health Sciences, Perak, Malaysia.<br /><searchLink fieldCode="AU" term="%22Faiyazuddin+M%22">Faiyazuddin M</searchLink>; Universiti Kuala Lumpur, Royal College of Medicine Perak (UniKL RCMP), Faculty of Pharmacy and Health Sciences, Perak, Malaysia.; Centre for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
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  Data: <searchLink fieldCode="JN" term="%22101263847%22">International journal of nanomedicine</searchLink> [Int J Nanomedicine] 2026 Jun 09; Vol. 21, pp. 600651. <i>Date of Electronic Publication: </i>2026 Jun 09 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22DOVE+Medical+Press%22">DOVE Medical Press </searchLink><i>Country of Publication: </i>New Zealand <i>NLM ID: </i>101263847 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1178-2013 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2211769114%22">11769114 </searchLink><i>NLM ISO Abbreviation: </i>Int J Nanomedicine <i>Subsets: </i>MEDLINE
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        Value: 10.2147/IJN.S600651
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              Text: 2026 Jun 09
              Type: published
              Y: 2026
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