Agentic AI Brain Tumor Assistant

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@usamaansari786

Hi there, I will build a proof-of-concept agentic AI that transforms molecular reports into two aligned experiences patient-friendly chat explanations and clinician decision dashboards provide smart workflow and knowledge-base design to ensure accuracy and usability, and deliver high-quality, modular code that maintains traceability and privacy for all medical data. I’ve developed several digital health and AI-driven applications over 5+ years of professional experience, including tools that integrate clinical datasets, knowledge bases, and LLM reasoning chains. Daily progress updates will be shared to keep you informed at every stage, I’m ready to start immediately and ensure the system meets medical-grade safety and usability standards. Sincerely, Usama S

@Web1devloper

With my extensive experience in data analytics and science, particularly in machine learning and data visualization tools such as Power BI, Looker, SQL, and Python, I am well-equipped to build the Agentic AI Brain Tumor Assistant you are seeking. My talent is turning complex datasets into actionable insights which is critical for a project like this. The ability to decipher genomic reports and provide tailored explanations using plain language is central to this endeavor, and my style aligns perfectly with your vision. When it comes to medical data, privacy and accuracy are paramount. I have a proven track record of responsibly handling protected health information from my work in healthcare. Additionally, my background in analytics and dashboards assures that your clinician dashboard will be equipped with up-to-date oncology knowledge queried from reliable sources such as PubMed, NCCN, EANO, and ClinicalTrials.gov. Lastly, my skillset extends beyond solely data analysis; I believe in leveraging the power of insights extracted through statistical analysis and machine learning algorithms to drive real-world outcomes. I focus on problem-solving and effective stakeholder communication to optimize operations and ensure maximum usability of the solutions developed – attributes that define success in a project like yours. Let's collaborate to unlock the full potential of your data for improving patient care and transforming medical decision-making.

@adriank06

Hi. I'm currently a masters student in field of AI and soft computing. my previous projects were in mostly in field of image processing, segmentation and detection. Here is a list of projects I have done so far : - segmentation and classification of MS disease cells from brain fmri images using MONAI and pytorch framework - white blood cell detection and classification using YOLO and vision Transformer based deep learning models. ( Open CV was used in this project ) - breast cancer cell segmentation using CNN based deep learning models using pytorch in neuromatch academy - I was also in a neuroscience research project related to image processing - legal assistant development and deployment using RAG architecture also my thesis was in the field of state-of-the-art subspace clustering methods with gpu acceleration and multi objective optimization for high dimensional data sets and most of my theoretical background comes from the Christopher Bishop's deep learning and machine learning books. I would love to have a meeting with you to discuss the technical aspects of the project since as long as I gather more information on the project and Data, I would deliver and deploy the product with more reliability and robustness.

@Shrutibimpl

Hello, 1) What is the specific format of your molecular reports: PDF, raw JSON, or unstructured text? 2) Do you have preferred vector database and LLM providers you want to use? 3) Are there specific clinical trials or hospital registries you want to prioritize for the matching engine? I will design a multi-agent system using a modern AI framework to process genomic data and deliver tailored insights. I will implement a retrieval pipeline that pulls directly from verified oncology databases to ensure all explanations and paths are factually accurate and include clickable citations. I will build a secure API that accepts medical records and parses the key mutations to drive the logic. For the user interface, I will create a responsive web application with two distinct portals: one focused on patient education using plain language, and another for clinicians that highlights guideline-compliant treatments and trial matches. The entire build will be modular to allow for future security audits and medical validation. Thanks, Bharat

@madhuc22

Hi, Your proof-of-concept for an agentic AI in brain tumor management is both ambitious and meaningful. I understand that this is not just a chatbot — it’s a dual-experience clinical decision support system that must operate with medical-grade reliability, traceability, and up-to-date oncology knowledge.