BIOBOT (Biomedical Innovation in The Open Chatbot): Automatic Medication Recommendation System

Combining Future of AI and Telemedicine. Don’t miss my talk on how Natural Language Processing is revolutionizing healthcare! Explore the game-changing impact of language tech in saving lives and transforming patient care. Join the conversation for a glimpse into the healthcare revolution!

BIOBOT (Biomedical Innovation in The Open Chatbot) is a cutting-edge Automatic Medication Recommendation System that harnesses the power of Natural Language Processing (NLP) to provide personalized medication suggestions based on individual medical histories, symptoms, and preferences. This innovative healthcare solution represents a breakthrough in patient-centered care, employing circular polarization to bridge the communication gap between patients and medical expertise. By fusing biomedicine and Artificial Intelligence, BIOBOT is paving the way for a more accessible and efficient approach to healthcare, fostering a future where personalized medication recommendations are just a conversation away.

I’m Marcel Andrian Shevchenko, a passionate AI enthusiast with a strong background in NLP, machine learning, and data analytics. I’ve actively contributed to projects in these fields, including the development of an AI-based app for daily use. My educational journey has equipped me with a deep understanding of AI techniques, and I’ve received recognition for my academic achievements, such as the ERASMUS+ Exchange Scholarship with an acceptance rate of 1:250 and numerous honors and awards.

Furthermore, my professional experience includes serving as a Laboratory Teaching Assistant, where I’ve imparted knowledge on big data, data analytics, and machine learning to over 600 students. In terms of project experience, I have been part of impactful projects such as the “BIOFARMA X MIT HACKING MEDICINE” project, where I played a pivotal role in creating an AI-based solution called BIOBOT. This innovative technology leverages NLP for rule-based drug consultations and OCR for data analysis, with a focus on pharmaceutical forecasting. In leadership roles, I’ve served as a Board of Supervisors for various associations and have been actively involved in coordinating events, human resource development, and strategic decision-making. My diverse skill set includes data analysis, text processing, NLP, machine learning, programming languages, and more. I’m passionate about computer vision, data engineering, and NLP, making me well-prepared to discuss the intersection of NLP and healthcare.

In conclusion, I believe that my extensive educational background, hands-on experience in AI, NLP, and data analytics, coupled with my project management and leadership experience, uniquely qualify me to deliver an engaging and informative presentation on the transformative role of NLP in healthcare. I look forward to the opportunity to share insights and engage with the audience during this event.

Technical Requirements: I would require standard audio-visual equipment, including a projector, pointer, and microphone, to effectively deliver the content. Additionally, a stable internet connection would be needed for live demonstrations and visual aids.