Technologies for Identification and Validation of Cancer Biomarkers

A Javed, H Sher, Z Huma, IN Khan - Cancer Biomarkers in Diagnosis and …, 2022 - Springer
With the recent advances in genomic profiling, high-throughput technologies and improved
treatment strategies based on personalized medcines, biomarkers have emerged with an …

Ai on a chip for identifying microalgal cells with high heavy metal removal efficiency

M Xu, J Harmon, T Hasunuma… - … Conference on Solid …, 2021 - ieeexplore.ieee.org
Microalgae-based methods used in heavy metal (HM)-polluted wastewater treatment have
attracted increasing attention in recent decades, due to their eco-friendliness, profitability …

Impedance-based tracking of biophysical properties of single microalgae cells

T Tang, K Suzuki, Y Tanaka, Y Hosokawa… - The Proceedings of …, 2022 - jstage.jst.go.jp
In this work, an FPGA-based impedance cytometry is proposed to characterize the
morphology and interior of single cells. When the detection frequency is sufficient to …

Artificial Intelligence on Urology Lab

하재백, 정재운, 서정윤, 박성윤, 왕서정… - 대한비뇨기종양 …, 2022 - scholarworks.bwise.kr
The development of lab-on-a-chip technology based on microfluidics has been used from
diagnostic test to drug screening in biomedical science. Lab-on-a-chip technology is also …

비뇨의학연구실인공지능

하재백, 정재운, 서정윤, 박성윤, 왕서정, 김태우… - 대한비뇨기종양 …, 2022 - dbpia.co.kr
The development of lab-on-a-chip technology based on microfluidics has been used from
diagnostic test to drug screening in biomedical science. Lab-on-a-chip technology is also …

A compact open-top light-sheet microscope for Optofluidic imaging

J Son, B Mandracchia, S Jia - Three-Dimensional and …, 2022 - spiedigitallibrary.org
The fluorescence Optofluidic imaging have recently transformed conventional optical
investigations of biological systems by exploiting the synergic combination of recent …

[PDF][PDF] 2019 YEAR IN REVIEW: MACHINE LEARNING IN HEALTHCARE

P Mathur, AK Khanna, JB Cywinski… - Team BrainX, BrainX … - researchgate.net
We present a synopsis of publications focused on machine learning (ML) or artificial
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …

Single Cell Biological Microlasers Powered by Deep Learning

Z Qiao, W Sun, N Zhang, RA Jie, SY Chew, YC Chen - bioRxiv, 2021 - biorxiv.org
Cellular lasers are cutting-edge technologies for biomedical applications. Due to the
enhanced interactions between light and cells in microcavities, cellular properties and subtle …

Neuromorphic Cytometry: A novel attempt in image-based cell sorting

Z Zhang, D Vigolo, JK Eshraghian, KT Yong… - … , Devices, Circuits and …, 2023 - nanoge.org
Cell sorting and counting technology has been broadly adopted for medical diagnosis, cell-
based therapy, and biological research. Microscopy operates with image capture that is …

[PDF][PDF] Real-time image-based cell identification

M Herbig - 2020 - core.ac.uk
Identification of different cell types is an indispensable task of biomedical research and
clinical application. During the last decades, much attention was given to molecular …