HACARUS for Medical Introduction

Advantages of HACARUS’ AI technology in the medical field

POINT 1Compatible with small data sets - suitable even for rare diseases

For medical professionals who are trying to implement AI as a viable treatment method, one of the biggest obstacles is collecting data. Collaboration between institutions is difficult and even obtaining anonymous personal data can be very time consuming.
Even under normal circumstances, obtaining data is difficult, so obtaining information regarding rare diseases is almost impossible. This is where our Sparse Modeling AI comes into play. With only small amounts of data, this AI can be utilized to accurately and efficiently analyze this sensitive data, providing a novel solution to data collection.

POINT 2 AI’s decision making process can be understood by humans through Explainable AI (XAI)

Even though AI technology is rapidly advancing, it is still the role of the doctor to determine what is best for his patients. Currently, AI acts as a tireless assistant that performs consistently by following set rules. This is why making AI models explainable is key. Although helpful, conventional Deep Learning models face the problem of “black box”, where it is impossible to determine the reasoning behind any of the model’s decisions.
For doctors, it is crucial to prescribe a treatment that they do understand themselves. With people’s lives on the line, the need for an AI model that is explainable and understandable by humans has become increasingly important. HACARUS has engineered our Sparse Modeling AI to solve this “black box” problem, giving doctors the ability to understand the important factors influencing AI’s decision making.

POINT 3 Our lightweight design allows for execution in a variety of environments, including remote areas of medical care.

AI is able to provide a wide range of medical support, especially in cases where there is a lack of human resources. Our Sparse Modeling AI is uniquely designed to fit this role with its lightweight design that can be deployed on edge terminals. It also has the ability to learn while offline locally on deployed equipment, making it the perfect assistant.

Use CaseUse Case Examples

Diagnostic Algorithm for rare diseases

In local clinics, where some patients require the expertise of specialists, our solutions can help find signs of difficult diseases in place of these specialists.

Genome Analysis

Using HACARUS AI expertise we can assist in tasks such as the identification, measurement or comparison of genomic features including DNA sequence, structural variation, gene expression, or regulatory and functional element annotation at the genomic level.

Regenerative Medicine

Fueled by HACARUS’ AI algorithms, we can aid in developing methods to regrow, repair or replace damaged or diseased cells, organs or tissues. Other applications Include the generation and use of therapeutic stem cells, tissue engineering and the production of artificial organs.

AI-Assisted Drug Discovery

With our unique AI tools, we can simplify drug discovery by using machine learning techniques focused on pattern recognition, material informatics and data modeling.

Case StudyCase Studies

Ohara Pharmaceutical Co., Ltd.

AI Enabled Cerebral Infarction Diagnosis Assistance – HACARUS & Ohara Pharmaceutical

Joint Development
Medical
医療

Mitsubishi Tanabe Pharma Corporation

HACARUS Brings Sparse Modeling to Drug Discovery with Mitsubishi Tanabe Pharma

Joint Development
Use Case
Drug Discovery
Medical
医療

Our ServiceProducts & Services

Cell Image Analysis

The realization of high-speed and automated cell diagnosis and evaluation in the medical and drug discovery fields.

Vital Data Analysis

By analyzing the time-based trends of biometric data, it is possible to gain insights for clinical practice and research in the medical field.

HACARUS for MedicalCapabilities of HACARUS’ AI in the Medical Field