Develop tools to be used by professionals in bioinformatics to study cancer. These tools use co.chat() with RAG using documents downloaded by the tools from the Entrez suite of tools that are used to access the Pubmed archive, a vast collection of research papers on a variety of subjects related to medicine. For example there are over 5 million articles that relate to cancer in Pubmed, and these abstracts are being updated continually. There is also a large amount of information in Pubmed Central, an archive of full papers with various subsets that have been cleared for varying amounts of commercial access. The tools we develop are meant to be used by bioinformaticians who use Python daily in their job and are very comfortable with the command line. There are some efforts to apply AI to study biology but we feel that with a CAGR of 23% this is a fruitful area of investigation. In addition, this tool can be used to analyze the business and financial prospects of companies in this area.

There are many new drugs being developed right now to help people live dramatically longer and healthier lives. There is an entire subculture devoted to finding new ways to live longer and some people take many supplements per day in order to help them live longer. These are usually high-net worth individuals who have thought deeply about Life Extension and already have a personal doctor helping prescribe them new medications to help them live longer lives. We want to help both these people and their doctors to find these new therapies. Our primary source of raw data is Pubmed, a vast archive of scientific papers relating to health and medicine. It contains millions of peer-reviewed, high quality scientific articles, but using the traditional Entrez keyword based search mechanisms, it is sometimes difficult to find the best article to support a conclusion like "exercise is good for you" or "metformin can increase your lifespan" in recent literature

Bio Explorer helps researchers find novel platforms for cancer treatment . The OpenAI GPT Chatbot represents a groundbreaking advancement in the field of artificial intelligence, particularly tailored to address complex questions in the realm of biology. This innovative tool is specifically engineered to delve into the vast and intricate world of cancer research, aiming to uncover novel and potentially life-saving cures for this challenging disease. At the core of its functionality lies the integration of the scientific method with advanced automation technologies, enabling the chatbot to process, analyze, and synthesize vast amounts of biological data at unprecedented speeds.

Review articles in scientific journals are a helpful way for researchers to learn the state of the art in a field from leading names in the field. In the field of cancer treatment, there are many such review articles in the literature. One common issue with review articles is that they are almost immediately out of date, that is, as soon as a new article is published with new data that changes the scientific consensus about a problem, the review article will not have this information. In addition, many review articles are published in prestigious journals, which means that they are often expensive and thereby inaccessible to a large part of the world. We have sketched out an AI in this hackathon that writes up to date literature reviews from the very latest literature, downloaded fresh from Entrez PubMed, a vast archive of biological abstracts, with millions of peer-reviewed abstracts about cancer. We use this information along with Retrieval Augmented Generation to generate sentences for a new article, where each sentence is based on one from a chosen literature review article.

We developed a tool using the Yi-34B-200k model that will take scientific abstracts and summarize them for a person deeply interested in life extension, which we will call a biohacker in this context. These people want to extend their lives to 200-500 years or even longer and take a wide variety of supplements and drugs to help them live longer. There is much scientific research in life extension and going through scientific papers to find the latest research is a daunting task for many biohackers who lack the education given to a medical doctor or researcher. By making summaries of these articles in a form that is easy to understand, it will help biohackers follow the latest scientific research more easily.

Your AI-driven tool is a revolutionary blend of Midjourney and Stable Video, designed specifically for science YouTubers. It simplifies the creation of educational videos by transforming static, microscopic world images into dynamic, 3D CGI-like videos, accompanied by AI-generated audio tracks. This innovation allows content creators to produce high-quality, engaging visuals effortlessly, focusing more on their educational narratives. The standout feature of your project is its capacity to automate the production of intricate, visually rich content. This not only makes the process efficient but also accessible to creators with varying levels of technical expertise. The focus on microscopic imagery offers a deep dive into the cellular world, providing viewers with an immersive and detailed exploration of scientific concepts. Another key aspect is the AI-generated audio tracks. These tracks complement the visuals, enhancing the overall viewer experience and engagement. This is particularly beneficial for YouTubers who seek to create a complete sensory experience for their audience. The potential of your tool extends far beyond its current application. It holds the promise of revolutionizing the production of educational content across various digital platforms. By making complex scientific topics visually appealing and easy to understand, your tool can play a crucial role in expanding the reach and impact of science communication. As part of an AI startup accelerator, your project stands out for its innovative use of AI, its impact on educational content quality, and its broad potential in enhancing the field of science education. This tool not only represents a significant advancement in content creation technology but also in the democratization of high-quality educational resources.