AI system developed by drug discovery researchers for hypothesis generation.
FRONTEO's unique paper search AI system utilizes natural language processing AI technology. By inputting words, sentences, or hypotheses, the AI can instantly detect and analyze highly similar and relevant paper information from the vast database of papers published in PubMed. This significantly streamlines tasks that would have taken an enormous amount of time if done manually, and it also enables the discovery of information that could not be found through traditional keyword searches, as well as information free from biases introduced by the searcher, thereby achieving objective and comprehensive analysis in medical and drug discovery research. It is a highly extensible application that can accommodate customizations, such as incorporating data uniquely held by companies and institutions.
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**Features** ■ Unbiasedness: Objective and comprehensive analysis of a vast number of papers AI objectively and comprehensively analyzes a vast amount of paper information without being influenced by researchers' knowledge, interests, or the journals in which they are published. It converts words and sentences into vectors (numerical values) based on relevance and similarity, presenting them as positional information, allowing for a quick grasp of the results at a glance. ■ Serendipity: Increasing the probability of unexpected discoveries Thanks to vector transformation technology, unexpected information and literature that could not be found through keyword searches can also be detected. Searches can exclude unnecessary elements, such as "excluding cancer," making access to other fields and unknown information efficient. ■ Discovery: Gaining new insights By gaining new insights from discoveries and realizations made with KIBIT Amanogawa, you can advance your research and lead to further exploration. ● Trained on all English papers published in PubMed, enabling immediate exploration and analysis ● A cloud service that can be started in as little as about one week from application ● Lightweight processing, eliminating the need for large-scale facilities such as supercomputers or large server clusters
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【Function】 Plots papers based on location information and displays them on the "Space Map." Users can select a portion of the map to narrow down their search to only the clusters in that area, and they can also reference abstracts on the system screen. The database of papers is updated every two weeks, and the new paper filtering feature supports users in reliably catching up with the publication status and content of new literature. Search results can be analyzed from various angles, including "Terms Frequency," which shows what each cluster contains, and "Chronological Chart," which illustrates the annual trends of each cluster, allowing for a quick grasp of the trends in paper content. The "Word Cloud" excludes common words such as articles and is composed only of words that have research significance, such as molecular names, disease names, and medical terms, visualizing necessary information without the noise of common words. In the "Card Box," the plotted paper information is displayed in order of relevance and similarity to search terms or hypotheses, and it is also possible to output a list of the top 100 papers in Excel format. The display size and position of each panel can be freely customized by the user according to their preferences and objectives.
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FRONTEO supports the judgments of experts in various fields who confront social issues day and night through the provision of its proprietary specialized AI, "KIBIT." This creates a starting point for innovation. Our unique natural language processing technology (patented in Japan and the U.S.) enables fast and high-precision analysis without relying on the amount of training data or computing power, unlike general-purpose AI. Additionally, by utilizing our patented technology that maps (visualizes the structure of) the analyzed information, "KIBIT" can directly influence the insights of experts. In recent years, KIBIT's technology has also been applied to hypothesis generation and target exploration in drug discovery. Through KIBIT's unique technology and approach, we are promoting social implementation in the fields of life sciences AI, business intelligence, economic security, and legal tech AI, with the aim of realizing our philosophy of "providing solutions that do not overlook risks and opportunities buried in records, and achieving fairness in the information society."
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