HACARUS Exhibiting at ‘PharmaLab Expo Tokyo’

HACARUS Exhibiting At ‘PharmaLab Expo Tokyo’

We will be exhibiting at ‘PharmaLab Expo Tokyo’ and showcasing our AI-based diagnostic and drug discovery support platform, as well as our visual inspection system for pharmaceutical and manufacturing industries.

HACARUS will be exhibiting at the ‘Interfex Week Tokyo / PharmaLabo EXPO Tokyo’ held at Tokyo Big Sight from July 5th (Wednesday) to July 7th (Friday), 2023. At the HACARUS booth, we will showcase our diagnostic and drug discovery AI platform, as well as AI-based appearance inspection systems, and conduct demonstrations of robots and software. ‘Interfex Week Tokyo / PharmaLabo EXPO Tokyo’ is one of the largest specialized technology exhibitions in Japan where all kinds of products, technologies and services related to research and manufacturing of pharmaceuticals and cosmetics are exhibited.

Link: https://www.interphex.jp/tokyo/ja-jp/about/prd.html


Exhibition Overview

Event Name: 25th Interfex Week Tokyo / 5th PharmaLabo EXPO Tokyo

Date: July 5th (Wednesday) to July 7th (Friday), 2023

Time: 10:00 AM to 5:00 PM

Venue: Tokyo Big Sight

Organizer: RX Japan Co., Ltd.

Free e-ticket registration: https://www.interphex.jp/doc_inv_ex_prd/

Booth Exhibition

Booth Number: 36-38

Exhibition Content

AI Software for Cervical Cancer Screening Support “HACARUS MD for Colposcopy”

 “HACARUS MD for Colposcopy” is an AI software that assists doctors in the observation and imaging of the cervical region using a colposcope. It detects and displays the reaction intensity of acetic acid processing on the images using AI technology, supporting the doctor’s observations. It also includes an auxiliary function for creating colposcopy findings, allowing doctors to insert text, lines, figures, and more into the captured images. This reduces the burden on doctors when creating electronic medical records and contributes to shorter consultation times.

AI Software for Abdominal MRI Image Interpretation Support “Cal.Liver.Lesion”

“Cal.Liver.Lesion” is a product that has been developed through collaborative research with the Department of Radiology, Graduate School of Medicine, Kobe University, a national university corporation. It is a program medical device designed to improve the visibility of extracted regions by automatically extracting areas with different signal values compared to the surrounding areas and creating a color map from the MRI images.

 AI Platform for Drug Discovery Support “HACARUS DD”

“HACARUS DD” is an AI platform that supports drug discovery researchers by leveraging AI to streamline image analysis in the drug discovery process. By combining the expertise of drug discovery researchers with AI, it contributes to the realization of a more efficient and rapid drug discovery process.

You can find more information at: https://hacarus.com/ja/medical/dd/

 AI Visual Inspection System “HACARUS Check”

“HACARUS Check” is an AI visual inspection system that combines collaborative robots, cameras with built-in lighting, and high-performance AI inspection software. It performs 360-degree inspections by capturing images of complex-shaped objects from all directions, enabling the detection of defects as small as 0.1 millimeters.

Using our proprietary algorithms, AI models are created with a small amount of good product data, eliminating the need for defective product data.

You can find more information at: https://check.hacarus.com


HACARUS INC. provides big insights from small data and has since its founding in 2014, supplied solutions in 100+ AI projects across the Medical and Manufacturing fields. Headquartered in Kyoto, Japan, and backed by Osaka Gas and Miyako Capital (Kyoto University), among others, its technology enables humans to make better, faster, and more reliable decisions based on data-driven insights. HACARUS’ proprietary AI engine is built using Sparse Modeling, a method that understands data like a human would – by its unique key features and is far more resource, time, and energy-efficient when compared to Deep Learning. To learn more, visit https://hacarus.com

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