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.
Yong Xiao Wang
Albany Medical College, United States
Consolato M Sergi
Universities of Alberta and Ottawa, Canada
Vladlen Slepak
University of Miami Miller School of Medicine, United States
Andreas M Papas
Antares Health Products, United States
Axel H Schonthal
University of Southern California, United States
Bernd Blobel
University of Regensburg, Germany
Gurpreet Singh
IQVIA, United Kingdom
Rassa Pegahi
UPSA, France
Tanuja Tummala
Harrisburg University of Science and Technology, United States
Natassa Pippa
University of Athens, GreeceSubmit your abstract Today
Title : Ectopically expressed olfactory receptors as an untapped family of drug targets and discovery of agonists and antagonists of OR51E1, an understudied G protein-coupled receptor
Vladlen Slepak, University of Miami Miller School of Medicine, United States
Title : Managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Analytical strategies for solid-state forms in drug development
Maria Cristina Gamberini, University of Modena e Reggio Emilia, Italy
Title : Understanding drug transport in plasma: The role of protein binding
Saad Tayyab, UCSI University, Malaysia
Title : Innovative development and delivery of biologics for chronic obstructive pulmonary disease
Yong Xiao Wang, Albany Medical College, United States
Title : Search for novel biomarkers and therapeutic targets for inflammatory disease
Madhav Bhatia, University of Otago, New Zealand
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model through de-sign-inspired biotech- & biopharma-driven applications and upgraded business mar-keting to secure the human healthcare and biosafety
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : Design and evaluation of exo-itc: A bilayer fibrous system for controlled exosome delivery in dermatological applications
Luis Jesus Villarreal Gomez, FCITEC - Universidad Autónoma de Baja California, Mexico
Title : Abuse-deterrent dosage form technique utilizing a fusion of innovative pharmaceuticals and ion exchange resin
Bhupendra Gopalbhai Prajapati, Parul University, India
Title : Macitentan/tadalafil combination– An additional value in pharmacotherapy of pulmonary arterial hypertension
Miroslav Radenkovic, University of Belgrade, Serbia