Machine Learning-Driven Multiobjective Optimization: An Opportunity of Microfluidic Platforms Applied in Cancer Research

Circulating Tumor Cell Identification Based on Deep Learning

(2022) Zhifeng Guo et al.   Frontiers in Oncology

Machine learning enables design automation of microfluidic flow-focusing droplet generation

(2021) Ali Lashkaripour et al.   Nature Communications

Recent progress of microfluidics in surface‐enhanced Raman spectroscopic analysis

(2021) Ling Xia et al.   JOURNAL OF SEPARATION SCIENCE

Exploiting Machine Learning for Bestowing Intelligence to Microfluidics

(2021) Jiahao Zheng et al.   BIOSENSORS & BIOELECTRONICS

Cytokine gene variants and socio-demographic characteristics as predictors of cervical cancer: A machine learning approach

(2021) Manoj Kaushik et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Recent developments in Raman spectral analysis of microbial single cells: Techniques and applications

(2021) Heera Jayan et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

Deep Learning‐Enabled Label‐Free On‐Chip Detection and Selective Extraction of Cell Aggregate‐Laden Hydrogel Microcapsules

(2021) Alisa M. White et al.   Small

Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia

(2021) Valeria Rizzuto et al.   Scientific Reports

A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry

(2020) Carlos Honrado et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Applications of machine learning for simulations of red blood cells in microfluidic devices

(2020) Hynek Bachratý et al.   BMC BIOINFORMATICS

A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosis and Staging of Pancreatic Ductal Adenocarcinoma

(2020) Zijian Yang et al.   CLINICAL CANCER RESEARCH

Immunomagnetic Capture and Multiplexed Surface Marker Detection of Circulating Tumor Cells with Magnetic Multicolor Surface-Enhanced Raman Scattering Nanotags

(2020) Raymond Edward Wilson et al.   ACS Applied Materials & Interfaces

Designing a bidirectional, adaptive neural interface incorporating machine learning capabilities and memristor-enhanced hardware

(2020) Sergey Shchanikov et al.   CHAOS SOLITONS & FRACTALS

Microfluidics for extracellular vesicle separation and mimetic synthesis: Recent advances and future perspectives

(2020) Yingchao Meng et al.   CHEMICAL ENGINEERING JOURNAL

Alternation of inverse problem approach and deep learning for lens-free microscopy image reconstruction

(2020) L. Hervé et al.   Scientific Reports

Microfluidic biosensing of circulating tumor cells (CTCs): Recent progress and challenges in efficient diagnosis of cancer

(2020) Fatemeh Farshchi et al.   BIOMEDICINE & PHARMACOTHERAPY

Machine Learning Based Real‐Time Image‐Guided Cell Sorting and Classification

(2019) Yi Gu et al.   CYTOMETRY PART A

Microfluidics towards single cell resolution protein analysis

(2019) Peng Chen et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Toward point-of-care assessment of patient response: a portable tool for rapidly assessing cancer drug efficacy using multifrequency impedance cytometry and supervised machine learning

(2019) Karan Ahuja et al.   Microsystems & Nanoengineering

Label-Free Estimation of Therapeutic Efficacy on 3D Cancer Spheres Using Convolutional Neural Network Image Analysis

(2019) Zhixiong Zhang et al.   ANALYTICAL CHEMISTRY

Recent Advances in Microfluidic Platforms Applied in Cancer Metastasis: Circulating Tumor Cells' (CTCs) Isolation and Tumor‐On‐A‐Chip

(2019) Zhengjie Lin et al.   Small

Integration of Hierarchical Micro-/Nanostructures in a Microfluidic Chip for Efficient and Selective Isolation of Rare Tumor Cells

(2019) Shunqiang Wang et al.   Micromachines

Dielectrophoresis-based microfluidic platforms for cancer diagnostics

(2018) Jun Yuan Chan et al.   Biomicrofluidics

High-purity capture of CTCs based on micro-beads enhanced isolation by size of epithelial tumor cells (ISET) method

(2018) Na Sun et al.   BIOSENSORS & BIOELECTRONICS

Recent advances in microfluidic models for cancer metastasis research

(2018) Hui Xu et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning

(2018) Michael S. Manak et al.   Nature Biomedical Engineering

Detection of non-small cell lung cancer cells based on microfluidic polarization microscopic image analysis

(2018) Yanjuan Wang et al.   ELECTROPHORESIS

Machine learning the kinematics of spherical particles in fluid flows

(2018) Zhong Yi Wan et al.   JOURNAL OF FLUID MECHANICS

Deep Learning with Microfluidics for Biotechnology

(2018) Jason Riordon et al.   TRENDS IN BIOTECHNOLOGY

Optimizing Chemical Reactions with Deep Reinforcement Learning

(2017) Zhenpeng Zhou et al.   ACS Central Science

Computational cell analysis for label-free detection of cell properties in a microfluidic laminar flow

(2016) Alex Ce Zhang et al.   ANALYST

Developments of 3D Printing Microfluidics and Applications in Chemistry and Biology: a Review

(2016) Yong He et al.   ELECTROANALYSIS

The present and future role of microfluidics in biomedical research

(2014) Eric K. Sackmann et al.   NATURE

Methods to study the tumor microenvironment under controlled oxygen conditions

(2014) Matthew B. Byrne et al.   TRENDS IN BIOTECHNOLOGY

Separation of tumor cells with dielectrophoresis-based microfluidic chip

(2013) Mohammed Alshareef et al.   Biomicrofluidics

Label-free isolation of circulating tumor cells in microfluidic devices: Current research and perspectives

(2013) Igor Cima et al.   Biomicrofluidics

Highly sensitive enumeration of circulating tumor cells in lung cancer patients using a size-based filtration microfluidic chip

(2013) Ting Huang et al.   BIOSENSORS & BIOELECTRONICS

Microfluidics for cell separation

(2010) Ali Asgar S. Bhagat et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING