2024 6th International Conference on Advanced Bioinformatics and Biomedical Engineering (ICABB 2024) aims to gather professors, researchers, scholars and industrial pioneers all over the world. ICABB is the premier forum for the presentation and exchange of past experiences and new advances and research results in the field of theoretical and industrial experience. The conference welcomes contributions which promote the exchange of ideas and rational discourse between educators and researchers all over the world. We aim to building an idea-trading platform for the purpose of encouraging researcher participating in this event. ICABB 2024 is welcome qualified persons to delivery a speech in the related fields. If you are interested, please send a brief CV with photo to the conference email box: icabb@cbees.net.
Keynote Speakers
Prof. Luonan Chen
Distinguished Adjunct Professor, H-index: 81
Chinese Academy of Sciences/Hangzhou Institute for Advanced Study, UCAS, China
Prof. M. Michael Gromiha
H-index: 63
Indian Institute of Technology Madras, India
M Michael Gromiha is working as a Professor at the Department of
Biotechnology, Indian In-stitute of Technology (IIT) Madras, India. His
main research interests include protein structure and function,
mutational effects and development of bioinformatics databases and
tools. He has published more than 270 research articles, 70
reviews, eight editorials, and three books entitled “Protein
Bioinformatics”, “Protein Interactions” and “Protein mutations”. His
papers received more than 15,500 citations and his h-index is 63. He has
guided 23 PhD students, 10 Post-docs and handled more than 20 national
and international projects. He has organized five international
confer-ences, chaired scientific sessions and delivered
keynote/plenary/invited lectures in more than 200 na-tional and
international meetings. He is an Associate Editor of BMC Bioinformatics,
Frontiers in Bio-informatics and Bioinformatics Advances, Section Editor
of Current Protein and Peptide Science as well as an Editorial board
member of Scientific Reports, Biology Direct, Journal of Bioinformatics
and Computational Biology, Genes and Current Computer Aided Drug Design.
He has received several awards including the Oxford University Press
Bioinformatics prize, Okawa Science Foundation Research Grant, Young
Scientist Travel awards from ISCB, JSPS, AMBO and ICTP, Best Paper Award
at ICIC2011, ICTP Associateship Award, ICMR International Fellowship for
Senior Biomedical Scientists, INSA Senior Scientist Award, Best Paper
Award in Bioinformatics by the Department of Biotechnology, India,
Institute Research and Development Award from IIT Madras, Outstanding
Performance Award from Initiative for Parallel Bioinformatics (IPAB),
Tokyo Institute of Technology, Japan, Tamilnadu Scientist Award (TANSA)
from Tamilnadu State Council for Science and Technology, India and ASC
Masila Vijaya Award for excellence in research and pubi-cation from
Chennai Academy of Sciences. He is ranked as one of the topmost 0.5% of
highly cited re-searchers in the world and No.1 Scientist in
Bioinformatics in India in 2020. He is an elected Fellow of Indian
National Science Academy (FNA) and Academy of Sciences, Chennai.
Prof. Hsueh-Fen Juan
H-index: 49
National Taiwan University, Taiwan
Dr. Hsueh-Fen Juan is a Distinguished Professor in the Department of Life Science and the Graduate Institute of Biomedical Electronics and Bioinformatics at National Taiwan University. She serves as the Deputy Vice President for Research & Development and the Director of the Center for Computational and Systems Biology at the same institution. Dr. Juan is a pioneering systems biologist and co-founder of the Center for Systems Biology at the National Taiwan University. Her seminal research integrates multiple omics techniques with bioinformatics to study human diseases and develop novel drug discovery approaches. Her innovative methods have significantly advanced cancer research, particularly in elucidating molecular mechanisms of drug responses in cancer cells. A standout achievement is her work on targeting ectopic ATP synthase for cancer therapy, which garnered international attention in Science Daily and the American Chemical Society's weekly news. Dr. Juan's contributions have been recognized with numerous prestigious awards, including the 2008 Taiwan Ten Outstanding Young Person award, the 2012 K. T. Li Breakthrough Award, and the 2019 MOST Outstanding Research Award. Her research impact is evident in her impressive publication record: 155 journal papers, over 210 invited talks worldwide, and an h-index of 50 with more than 20,000 citations.
Speech Title: "Single-Cell Omics: Revolutionizing Precision Medicine for Predicting Drug Response"
Abstract: The true potential of precision medicine lies in its ability to tailor treatments to individual patients based on their unique genetic profiles. Predicting drug responses through individual transcriptomic profiles offers immense promise for refining prognoses and advancing personalized treatments. While many studies have focused on predicting responses of known drugs to new transcriptomic profiles, research into responses for newly discovered drugs remains limited. Single-cell omics is transforming this landscape by enhancing our ability to predict drug responses and understand immune cell dynamics in cancer. In this presentation, I will introduce scDrug+, an innovative pipeline that seamlessly integrates single-cell RNA sequencing (scRNA-seq) analysis with drug-response prediction. Unlike existing methods that target known drugs, scDrug+ can predict responses to new drugs by analyzing their molecular structures. This powerful tool not only streamlines the drug repurposing process but also advances prediction capabilities for novel therapeutics. Additionally, I will discuss how single-cell omics advancements are shaping precision medicine for drug prediction in T cell dynamics, cancer treatment, and addressing long COVID. This presentation will provide insights into the future directions of personalized medicine with the help of scDrug+ and single-cell omics.
Invited Speakers
Assoc. Prof. Xin Zhu
Tokyo Medical and Dental University, Japan
Xin Zhu received the bachelor’s and master’s degrees in biomedical engineering from Tianjin University, China, in 2000 and 2002, respectively, and the Ph.D. degree in computer science and engineering from The University of Aizu, Aizu-Wakamatsu, Japan, in 2006. From 2006 to 2009, he worked as a Postdoctoral Researcher with the Biomedical Information Technology Laboratory, The University of Aizu, where he was an Associate Professor, in 2009. He is currently a Senior Associate Professor with the Biomedical Information Engineering Laboratory, The University of Aizu. He will transfer to Tokyo Medical and Dental University and be a head professor at Department of AI Technology Development, M&D Data Science Center this September. His research interests include biomedical signal processing, cardiac modeling and simulation, biomedical image processing and analysis, and healthcare.
Speech Title: "Medical Image Analysis in Flexible Endoscopic Evaluation of Swallowing"
Abstract: Flexible endoscopic evaluation of swallowing (FEES) is considered the gold standard in diagnosing oropharyngeal dysphagia. Recent advances in deep learning have led to a resurgence of artificial intelligence-assisted computer-aided diagnosis (AI-assisted CAD) for a variety of applications. AI-assisted CAD would be a remarkable benefit in providing medical services to populations with inadequate access to dysphagia experts, especially in aging societies. In this presentation, I will introduce an AI-assisted CAD named FEES-CAD for aspiration and penetration detection on video recording during FEES. FEES-CAD segments the input FEES video and classifies penetration, aspiration, residue in the vallecula, and residue in the hypopharynx based on the segmented FEES video. To the best of our knowledge, FEES-CAD is the first AI-based system that achieves expert-level performance in detecting aspiration and penetration. An prospective observatory study was also performed to confirm the usefulness of the proposed system in assisting medical staff in the diagnosis of penetration, aspiration, residue in the vallecula, and residue in the hypopharynx.
Assoc. Prof. Daniele Takahashi
Bahia Federal University, Brazil
Dr. Daniele Takahashi is an Agronomist Engineer, holding a PhD in Agronomy from the University of São Paulo and a Master's degree from the same institution. Her academic journey began with a degree in Agronomy from the Federal University of São Carlos. With a distinguished career, Dr. Daniele Takahashi has served as the Head of Department at Bahia Federal University from 2020 to 2022. Currently, she is an esteemed Associate Professor at the Federal University of Bahia, where her research delves into the intricate mechanisms of biomolecules. Dr. Daniele Takahashi contributions extend beyond the academic realm. She actively leads projects focused on the development of innovative technologies for teaching biochemistry. Additionally, her commitment to education is underscored by her role as the coordinator of the Pedagogical Support Group at the Health Sciences Institute.
Assoc. Prof. Ye Ai
Singapore University of Technology and Design (SUTD), Singapore
Dr. Ye Ai is currently an Associate Professor with tenure at Singapore University of Technology and Design (SUTD). Prior to joining SUTD as an Assistant Professor in 2013, he worked as a postdoctoral researcher at the Bioscience Division of Los Alamos National Laboratory from 2011 to 2013. He was a visiting scholar at Massachusetts Institute of Technology from 2014 to 2015. He has been selected as 2019 Lab on a Chip Emerging Investigator by the journal of Lab on a Chip and listed among the top 2% scientists in a global list by Stanford University from 2021 to 2023. Associate Professor Ye Ai’s research interest focuses on developing innovative microfluidic technologies and biomedical devices for solving challenging biological and medical problems. His research group has developed precise acoustic tweezing technology for single cell manipulation, biophysical cytometry for multidimensional label-free single cell analysis, and microfluidic molecular diagnostic devices. Multiple technologies and IPs from Dr. Ai’s research have been licensed for commercialization.