Bioinformatics / Healthcare
Adaptation of deep learning to biotechnology/life science industry
PFN conducts R&D and drive commercialization of deep learning application for omics analysis, medical image analysis, and drug discovery.
- omics analysis: early cancer detection using miRNA
- medical image analysis: disease identification using X-ray, CT and MRI images
- Drug discovery: structure-based screening of potential compounds
We continue to expand and accelerate our research efforts in the field of Biomedical and Life Sciences.
Publications
GenerRNA: A generative pre-trained language model for de novo RNA design
PLoS ONE 19
By : Yichong Zhao, Kenta Oono, Hiroki Takizawa, KoteraMasaaki
Biomolecules 2020 (selected for 2022 Best Paper Award)
By : Shunichi Jinnai, Naoya Yamazaki, Yuichiro Hirano, Yohei Sugawara, Yuichiro Ohe, Ryuji Hamamoto
Development of a Stereo-Vision Based High-Throughput Robotic System for Mouse Tail Vein Injection
ICRA 2022
By : Tianyi Ko, Koichi Nishiwaki, Koji Terada, Yusuke Tanaka, Shun Mitsumata, Ryuichi Katagiri, Taketo Junko, Naoshi Horiba, Hideyoshi Igata, Kazue Mizuno
Cancer Science
By : Kuno Suzuki, Hideyoshi Igata, Motoki Abe, Yusuke Yamamoto
