Tailored solutions for complex diseases require systems that replicate patient-specific conditions. Disease modeling and personalized regenerative medicine combine 3D tissue models, patient-derived cells, and bioengineered platforms to predict treatment responses and design targeted therapies. By recreating pathological environments in vitro, researchers can evaluate drug efficacy and explore disease progression mechanisms. This approach reduces dependency on animal models and improves translational relevance. Integration with genomic data, artificial intelligence, and bioprinting allows for highly individualized therapeutic planning. Disease modeling and personalized regenerative medicine enhances precision medicine by aligning cellular behavior with specific genetic and environmental factors, making regenerative interventions more effective and patient-centered.
Title : The era of artificial intelligence (AI) and its use in regenerative medicine
Vasiliki E Kalodimou, European University-Cyprus Ltd, Cyprus
Title : The role of gingival fibroblasts in periodontal diseases and regeneration
Katarzyna Gawron, Medical University of Silesia in Katowice, Poland
Title : AI-integrated high-throughput tissue-chip for space-based biomanufacturing applications
Kunal Mitra, Florida Tech, United States
Title : Role of textile materials in tissue engineering and regenerative medicine
Gokarneshan Narayanan, SSM College of Engineering (Formerly), India
Title : Induction of neo angiogenesis: A way forward for reversing necrosis in complex wounds in orthopaedic practice
Sandeep Shrivastava, Datta Meghe Institute of Medical Sciences, India
Title : Silk-derived sericin at the interface of atopic dermatitis and wound healing: Modulation of inflammation and epidermal repair
Marek Konop, Medical University of Warsaw, Poland