Search Results for author: Ho-Pui Ho

Found 7 papers, 0 papers with code

Advancements in Programmable Lipid Nanoparticles: Exploring the Four-Domain Model for Targeted Drug Delivery

no code implementations11 Aug 2024 Zhaoyu Liu, Jingxun Chen, Mingkun Xu, David H. Gracias, Ken-Tye Yong, Yuanyuan Wei, Ho-Pui Ho

Programmable lipid nanoparticles, or LNPs, represent a breakthrough in the realm of targeted drug delivery, offering precise spatiotemporal control essential for the treatment of complex diseases such as cancer and genetic disorders.

Artificial Intelligence Enhanced Digital Nucleic Acid Amplification Testing for Precision Medicine and Molecular Diagnostics

no code implementations30 Jul 2024 Yuanyuan Wei, Xianxian Liu, Changran Xu, Guoxun Zhang, Wu Yuan, Ho-Pui Ho, Mingkun Xu

The precise quantification of nucleic acids is pivotal in molecular biology, underscored by the rising prominence of nucleic acid amplification tests (NAAT) in diagnosing infectious diseases and conducting genomic studies.

Diagnostic

SAM-dPCR: Real-Time and High-throughput Absolute Quantification of Biological Samples Using Zero-Shot Segment Anything Model

no code implementations22 Jan 2024 Yuanyuan Wei, Shanhang Luo, Changran Xu, Yingqi Fu, Qingyue Dong, Yi Zhang, Fuyang Qu, Guangyao Cheng, Yi-Ping Ho, Ho-Pui Ho, Wu Yuan

This accessible, cost-effective tool transcends the limitations of traditional detection methods or fully supervised AI models, marking the first application of SAM in nucleic acid detection or molecular diagnostics.

Self-Supervised Learning

Auto-ICell: An Accessible and Cost-Effective Integrative Droplet Microfluidic System for Real-Time Single-Cell Morphological and Apoptotic Analysis

no code implementations6 Nov 2023 Yuanyuan Wei, Meiai Lin, Shanhang Luo, Syed Muhammad Tariq Abbasi, Liwei Tan, Guangyao Cheng, Bijie Bai, Yi-Ping Ho, Scott Wu Yuan, Ho-Pui Ho

The Auto-ICell system, a novel, and cost-effective integrated droplet microfluidic system, is introduced for real-time analysis of single-cell morphology and apoptosis.

Deep Learning Approach for Large-Scale, Real-Time Quantification of Green Fluorescent Protein-Labeled Biological Samples in Microreactors

no code implementations4 Sep 2023 Yuanyuan Wei, Sai Mu Dalike Abaxi, Nawaz Mehmood, Luoquan Li, Fuyang Qu, Guangyao Cheng, Dehua Hu, Yi-Ping Ho, Scott Wu Yuan, Ho-Pui Ho

Absolute quantification of biological samples entails determining expression levels in precise numerical copies, offering enhanced accuracy and superior performance for rare templates.

Transfer Learning

Targeted Sub-attomole Cancer Biomarker Detection based on Phase Singularity 2D Nanomaterial-enhanced Plasmonic Biosensor

no code implementations6 Dec 2020 Yuye Wang, Shuwen Zeng, Aurelian Crunteanu, Zhenming Xie, Georges Humbert, Libo Ma, Yuanyuan Wei, Barbara Bessette, Jean-Christophe Orlianges, Fabrice Lalloué, Oliver G Schmidt, Nanfang Yu, Ho-Pui Ho

By precisely engineering the configuration with atomically thin materials, the phase singularity has been successfully achieved with a significantly enhanced lateral position shift effect.

Applied Physics Instrumentation and Detectors Medical Physics Optics

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