سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / اولین همایش بین المللی تحول خدمات سلامت: تلفیق مراقبت، درمان، بازتوانی و امیدبخشی

“Design of a nano-theranostic platform responsive to dual stimuli of the tumor microenvironment with simultaneous guidance of artificial intelligence: Original Research”

نویسندگان :

Mina Safi Jahanshahi¹

1- دانشگاه علوم پزشکی بم

کلمات کلیدی :

نانوترانوستیک،محرک‌ دوگانه،ریزمحیط تومور،تصویربرداری مولکولی،هوش مصنوعی،پزشکی دقیق

چکیده :

“Design of a nano-theranostic platform responsive to dual stimuli of the tumor microenvironment with simultaneous guidance of artificial intelligence: Original Research” Mina Safi Jahanshahi¹* ¹Bachelor of Nursing Student, Student Research and Technology Committee, School of Nursing and Midwifery, Bam University of Medical Sciences, Bam, Iran.                        mina.jhni8@gmail.com Introduction: The integration of diagnosis and treatment in the form of nano-theranostics has opened new horizons in precision medicine. However, insufficient response to single stimuli and lack of intelligent guidance have limited the clinical efficacy of these systems. The present study aimed to design smart nanocarriers that respond simultaneously to two main stimuli of the tumor microenvironment (acidic pH and MMP-2 enzyme) and have the ability to optimize dose and precise targeting by using deep learning algorithms.   Methods: PLGA-PEG hybrid nanoparticles containing superparamagnetic iron oxide (for MRI) and graphene quantum dots (for fluorescence) were synthesized and coated with tumor cell membranes. Doxorubicin and anti-PD-L1 were loaded via pH-sensitive and enzyme-linked conjugates. Imaging data from 50 breast cancer model mice were fed into a convolutional neural network to predict the optimal dose and distribution pattern.   Results: The 85 nm spherical nanoparticles showed stimulus-dependent release (82% in 48 h at pH 5.5 and the presence of MMP-2 versus 12% under physiological conditions) and specific tumor accumulation with a signal-to-noise ratio of 4.6. The AI algorithm predicted optimal penetration areas with 91% accuracy. The combination treatment resulted in an 88% reduction in tumor volume and a 65% reduction in PD-L1 expression.   Conclusion: The platform, designed by combining dual responsiveness and artificial intelligence guidance, provides an efficient solution for molecular imaging and targeted cancer therapy, and is an effective step in realizing person-centered medicine and transforming healthcare services.   Keywords: Nano-theranostics, dual stimuli, tumor microenvironment, molecular imaging, artificial intelligence, precision medicine