AI and machine learning in drug development and delivery are revolutionizing the pharmaceutical industry by enhancing both the speed and accuracy of drug discovery and patient treatment. In drug development, AI algorithms analyze vast datasets to identify potential drug targets, predict compound effectiveness, and optimize clinical trial designs. Machine learning models can predict the pharmacokinetics and toxicity of molecules, helping to reduce development costs and time. When applied to drug delivery, AI and machine learning enable the creation of personalized therapies, tailoring drug treatments based on genetic profiles and disease characteristics. These technologies also optimize drug formulations, improving bioavailability and ensuring precise targeting of drugs to specific organs or tissues. AI and Machine Learning in Drug Development and Delivery are driving innovations that streamline the process, reduce risks, and provide more effective, personalized treatments for patients.
Vladlen Slepak
University of Miami School of Medicine, United States
Axel H Schonthal
University of Southern California, United States
Bernd Blobel
University of Regensburg, Germany
Consolato M Sergi
University of Alberta, Canada
Luis Jesus Villarreal Gomez
Universidad Autónoma de Baja California, Mexico
Anil Pareek
Anand Pharmacy College, India
Saad Tayyab
UCSI University, Malaysia
Lan Wang
Paretor LLC, United States
Ravi P Sahu
Wright State University, United States
Bhasker Sambar
Alvogen Inc, United StatesSubmit your abstract Today
Title : Development of novel drug delivery pathways enabled by perillyl alcohol (NEO100), A monoterpene with multifaceted biomedical applications
Axel H Schonthal, University of Southern California, United States
Title : From marker to mechanism: Ligand discovery enables functional analysis of OR51E1, an ectopic olfactory receptor, in prostate cancer
Vladlen Slepak, University of Miami School of Medicine, United States
Title : Hepatotoxic botanicals-shadows of pearls
Consolato M Sergi, University of Alberta, Canada
Title : Tailored cellular environments to enable drug design
Lan Wang, Paretor LLC, United States
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model based on design-inspired biotech- & biopharma-driven applications to secure the human healthcare and biosafety
Sergey Suchkov, N D Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, InMedStar and Biona, Russian Federation
Title : Precision diagnostics: Effectiveness of innovative imaging technologies for early detection of lung cancers
Huiqin Yang, ICON Clinical Research Ltd, United Kingdom
Title : Principles and standards for managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Biocompatible synthesis of non crystalline iron oxide nanoparticles with stable colloidal properties
Lan Wang, Paretor LLC, United States
Title : Design and characterization of gum arabic buccal films for protein drug delivery
Krisztian Pamlenyi, University of Szeged, Hungary
Title : Hydrogen sulfide in sepsis: From bench to bedside
Madhav Bhatia, University of Otago, New Zealand