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Interdisciplinary Biology Lab
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An interdisciplinary lab that quantitatively deciphers life phenomena with mathematical models and AI.
AboutAbout the lab
Making the history of interdisciplinary research, in real time.
The Interdisciplinary Biology Lab (iBLab) advances biological research using mathematical models, computer simulation, and artificial intelligence.
The lab takes an approach of entering clinical and experimental research settings and getting involved from the research design stage, before data are collected.
The lab's website describes it as Japan's first research hub for interdisciplinary biology.
It targets a variety of diseases and life phenomena, including infectious diseases, cancer, immunity, and the effects of drugs and vaccines.
Key terms
- Digital twin
- A technology that uses mathematical models and AI to reproduce real patient data on a computer
- Virtual patient
- Simulated patient data created to have statistically the same properties as the data of a real patient population
- Stratification
- Dividing patients into subgroups based on biomarkers, genetic diagnosis, and the like
- Biomarker
- An indicator that reflects the state of a disease, searched for in data such as blood test results
ResearchResearch themes
Using mathematical models and artificial intelligence, the lab aims to quantitatively understand life phenomena and the progression of disease from experimental and clinical data. It moves back and forth between the real world and the virtual world built through simulation.
*Illustrative imageDesigning clinical trials with digital twins
Using digital twin technology that integrates experimental and clinical data, the lab identifies inappropriate treatments and candidate drugs before they proceed to clinical trials. It creates virtual patients that have statistically the same properties as patient populations, and uses them in clinical trial design.
*Illustrative imagePatient stratification and biomarker discovery
Working with a range of medical institutions, the lab uses AI to stratify patients based on clinical data and to find patient groups whose disease progresses differently. It searches for biomarkers that characterize each group, and also works on predicting the course of disease for individual patients.
*Illustrative imageIndividual differences in the effects of treatments and vaccines
The effects of therapeutic drugs and vaccines, and responses to them, vary from person to person. Using mathematical models and AI, the lab aims to stratify effects based on changes in biomarkers and to quantitatively understand how those effects emerge.
*Illustrative imageEvaluating countermeasures for emerging and re-emerging infectious diseases
The lab develops mathematical models and simulation frameworks that can be applied to a variety of infectious diseases. It quantitatively evaluates infection control strategies, such as screening methods for infected people and criteria for ending isolation.
MembersFaculty
The members of the Interdisciplinary Biology Lab consist of faculty, doctoral and master's students, undergraduate students, researchers hosted from companies, science communicators, a lab manager, secretaries, designers, and video creators.As of 2026
- ProfessorShingo Iwami
- LecturerShoya Iwanami
- Assistant ProfessorRaiki Yoshimura
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Evol biol model” Yel D'ohan / CC BY-SA 4.0 (cropped)
- Designing clinical trials with digital twins: “Virtual clinical trials ( )” Oak Ridge National Laboratory / CC BY 2.0 (cropped)
- Patient stratification and biomarker discovery: “Clinical Chemistry Analyzer , Клинички биохемиски анализатор 3” Делфина / CC BY-SA 4.0 (cropped)
- Individual differences in the effects of treatments and vaccines: “BioFarma vaccine vials Bandung” Ümit Kartoğlu for VOA / Public domain (cropped)
- Evaluating countermeasures for emerging and re-emerging infectious diseases: “EODY COVID-19 testing site Thessaloniki” Geraki / CC BY-SA 4.0 (cropped)
- Related lab (Endocrine Signaling Lab): “Drosophila melanogaster under a microscope 01” Gannu03 / CC BY-SA 4.0 (cropped)
- Related lab (Integrative Evolutionary Ecology Lab): “Lucanus cervus male Saarland 22” Orchi / CC BY-SA 3.0 (cropped)
- Related lab (Genetics Lab): “Culture vials of Drosophila melanogaster in Unifei” Mateus S. Figueiredo / CC BY 4.0 (cropped)
- Related lab (Cellular Drug Efficacy Analysis Lab): “Virtual reality headset” FloppaIngénieur / CC BY 4.0 (cropped)
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