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Submitted : Research Problems Title of the Research Problem  AI/ML integrated personalized treatment approaches for psoriasis, ageing, wrinkle and other skin ailments. Abstract of the Research problem  Problem requires implementation of AI/ML to design a mobile application trained on pre-existing repositories of psoriatic, eczematous, aged, wrinkled, pigmented skin/biomarkers etc, for diagnosing the skin ailment of a prospective end-user. Based on the severity of condition, the app will recommend personalized therapies from a catalogue of cosmeceutical product portfolio developed in-house. The therapies could be topical/systemic and will amalgamate less explored Ayurvedic actives with novel drug delivery approach like ‘ionic liquids.’ Resultant product will be developed as per regulatory standards and will undergo preclinical safety and efficacy validation, thus providing complete skin-care solution for select conditions. Target TRL to be achieved TRL-5 or above Previous work done by the faculty We have founded a start-up ‘Tangerne Esperer’ whose objective is development of cosmeceutical and healthcare products. We have identified four active combinations from Ayurvedic literature which have application in psoriasis, and have developed a topical formulation comprising of plant derived ingredients like Capryl glucoside, phenoxoxyethanol, sodium cocoyl apple amino acids, saccharide isomerate, sorbitan oleate decyl glucoside cross polymersodium carrageenan etc. Dr. Prajna has also been simultaneously working on an app to carry out image-based detection of psoriatic skin conditions. This app will first guide users to capture images of affected areas from different parts of the body and recommend its severity level using AI based image processing techniques. Related Research Equipment / Lab Space / Facilities Available for solving this problem Cumulative Facilities at BITS Pilani (HyderabadCampus) to PI/Co-PI: HPLC system, Flow Cytometer, Microplate reader, DLS analyser, Inverted Fluorescence Microscope, Rotary Evaporator, Cryotome, Freeze drier, Hybrid vacuum pump, Organ bath system, Powder XRD, LSCM, UV-VIS-NIR Spectrophotometer, FTIR Spectrometer, Fluorimeter, CD Spectrophotometer, Digital Polarimeter, DSC, TGA, GC, LC-MS, NMR 400 MHz, FE-SEM, Water bath, Platform shaker, Vortex mixer, Horizontal gel electrophoresis, Refrigerator(-20C, -80C), Biosafety cabinet, CO2 incubator, Shaking and still incubator (variable temp), Ultrasonicator, Magnetic stirrer, mechanical stirrer. Other resources such as, experimental garden, machine room etc. CCSEA approved state of the art animal facility with 3700 sq. ft. is also available in the host institute for conduction of preclinical studies. Research Equipments in the Computer Science department: Smart Racks for Network Servers (HPC) with Accessories and PDU Computer Workstation (Server), Model:Tyrone Camarero DS 400TN-48 R (WITH MONITOR 27) HP Work Station hpZ4 (Xeon W-2123/2*8GB DDR4/2TB with 1TB SSD/GFX Nve Qdr 4GB/Win 10/DVD-RW/3YW/HP V270(27 Monitor)/HP W/L KB+Mouse Combo/Logitech HD Pro Webcam C920 - 01 Each HP Omen x 15 -DG0018TX-New Intel Core i7-9750H/16GB DDR4/512GB+512GB SSD/Win 10 Home/15.6 FHD/8GB RTX 2080 Nvidia Graphics/IPS 144Mhz Antglare/Bag/1Yr WTY & HP Color LJ Pro Printer - 01 Each UN SDG Impacted UN-SDG-3 (Good Health and Well Being) Ideal Applicant Background The candidate should ideally possess a master’s degree in pharmaceutical or biomedical sciences, and an ability to conceptualize and execute multidisciplinary experiments with the flexibility to coordinate with cross functional stake holders involved in pharmaceutical development. The candidate will have to produce robust formulations inspired from Ayurvedic actives, and test them in preclinical disease models. Additionally, the candidate will spend significant time developing AI/ML tools for detection of skin problems and honing the software to make recommendations from the formulations he/she generates. The applicant will get to work with image, free text, and molecular data and have the opportunity to be co-supervised by a computer science faculty. Thus, an ability to grasp concepts from pharmaceutical science and computer science will be vital. Preferred Discipline of the Applicant Pharmaceutical Sciences/ Biomedical Sciences Faculty Name Yuvraj Singh Faculty Web Page https://www.bits-pilani.ac.in/hyderabad/yuvraj-singh/