Sensitive and specific detection of tumour cells based on a multivalent DNA nanocreeper and a multiplexed fluorescence supersandwich

Lei Luo, Wenshan Li, Dongliu Xiang, Yanyun Ma, Yuan Zhou, Yaqing Xu, Nandi Chen, Qing Wang, Jin Huang, Jianbo Liu, Xiaohai Yang and Kemin Wang

Chem. Commun., 2020, 56, 3693
DOI: 10.1039/C9CC08618H

Predicting cancer cell invasion by single-cell physical phenotyping

Kendra D. Nyberg, Samuel L. Bruce, Angelyn V. Nguyen, Clara K. Chan, Navjot K. Gill, Tae-Hyung Kim, Erica K. Sloan and Amy C. Rowat

Integrative Biology, 2018, 10, 218
DOI: 10.1039/C7IB00222J

The next generation of hybrid microfluidic/integrated circuit chips: recent and upcoming advances in high-speed, high-throughput, and multifunctional lab-on-IC systems

Vasant Iyer, David A. Issadore and Firooz Aflatouni

Lab Chip, 2023, 23, 2553
DOI: 10.1039/D2LC01163H

Diagnosis of traumatic brain injury using miRNA signatures in nanomagnetically isolated brain-derived extracellular vesicles

J. Ko, M. Hemphill, Z. Yang, E. Sewell, Y. J. Na, D. K. Sandsmark, M. Haber, S. A. Fisher, E. A. Torre, K. C. Svane, A. Omelchenko, B. L. Firestein, R. Diaz-Arrastia, J. Kim, D. F. Meaney and D. Issadore

Lab Chip, 2018, 18, 3617
DOI: 10.1039/C8LC00672E

AI on a chip

Akihiro Isozaki, Jeffrey Harmon, Yuqi Zhou, Shuai Li, Yuta Nakagawa, Mika Hayashi, Hideharu Mikami, Cheng Lei and Keisuke Goda

Lab Chip, 2020, 20, 3074
DOI: 10.1039/D0LC00521E

Machine learning-aided protein identification from multidimensional signatures

Yuewen Zhang, Maya A. Wright, Kadi L. Saar, Pavankumar Challa, Alexey S. Morgunov, Quentin A. E. Peter, Sean Devenish, Christopher M. Dobson and Tuomas P. J. Knowles

Lab Chip, 2021, 21, 2922
DOI: 10.1039/D0LC01148G

A web-based automated machine learning platform to analyze liquid biopsy data

Hanfei Shen, Tony Liu, Jesse Cui, Piyush Borole, Ari Benjamin, Konrad Kording and David Issadore

Lab Chip, 2020, 20, 2166
DOI: 10.1039/D0LC00096E

Artificial Intelligence for Organoids Multidimensional Assessment

Yulin Mo, Jian Wang, Huijian Yang, Long Bai, Ke Xu and Jiacan Su

SmartMat, 2025, 6
DOI: 10.1002/smm2.70016

AI in Measurement Science

Chao Liu and Jiashu Sun

Annual Rev. Anal. Chem., 2021, 14, 1
DOI: 10.1146/annurev-anchem-091520-091450

Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications

Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César and Daniel Alves de Oliveira

Applied Sciences, 2025, 15, 8196
DOI: 10.3390/app15158196

Detection of Cell Types Contributing to Cancer From Circulating, Cell-Free Methylated DNA

Megan E. Barefoot, Netanel Loyfer, Amber J. Kiliti, A. Patrick McDeed, Tommy Kaplan and Anton Wellstein

Front. Genet., 2021, 12
DOI: 10.3389/fgene.2021.671057

Multichannel DNA Sensor Array Fingerprints Cell States and Identifies Pharmacological Effectors of Catabolic Processes

Nilanjana Das Saha, Ranjan Sasmal, Shafeekh Kulathinte Meethal, Somya Vats, Preethi V. Gopinathan, Oishika Jash, Ravi Manjithaya, Nathalie Gagey-Eilstein and Sarit S. Agasti

ACS Sens., 2019, 4, 3124
DOI: 10.1021/acssensors.9b01009

Liquid Biopsies in Cancer Diagnosis, Monitoring, and Prognosis

Gabriele De Rubis, Sabna Rajeev Krishnan and Mary Bebawy

Trends in Pharmacological Sciences, 2019, 40, 172
DOI: 10.1016/j.tips.2019.01.006

Deep Learning with Microfluidics for Biotechnology

Jason Riordon, Dušan Sovilj, Scott Sanner, David Sinton and Edmond W.K. Young

Trends in Biotechnology, 2019, 37, 310
DOI: 10.1016/j.tibtech.2018.08.005

Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data

María Gabriela Valdés, Iván Galván-Femenía, Vicent Ribas Ripoll, Xavier Duran, Jun Yokota, Ricard Gavaldà, Xavier Rafael-Palou and Rafael de Cid

BMC Syst Biol, 2018, 12
DOI: 10.1186/s12918-018-0615-5

Decoding the Dynamics of Circulating Tumor DNA in Liquid Biopsies

Khadija Turabi, Kelsey Klute and Prakash Radhakrishnan

Cancers, 2024, 16, 2432
DOI: 10.3390/cancers16132432

Emerging Trends in Neuroblastoma Diagnosis, Therapeutics, and Research

Rishabh Sharma, Jaya Yadav, Sajad Ahmad Bhat, Abdugani Musayev, Syrsulu Myrzagulova, Deepika Sharma, Nipun Padha, Manju Saini, Hardeep Singh Tuli and Tejveer Singh

Mol Neurobiol, 2025, 62, 6423
DOI: 10.1007/s12035-024-04680-w

Salivary biomarkers: novel noninvasive tools to diagnose chronic inflammation

Paola Dongiovanni, Marica Meroni, Sara Casati, Riccardo Goldoni, Douglas Vieira Thomaz, Nermin Seda Kehr, Daniela Galimberti, Massimo Del Fabbro and Gianluca M. Tartaglia

Int J Oral Sci, 2023, 15
DOI: 10.1038/s41368-023-00231-6

Hybrid Feature Selection Framework for Identification of Alzheimer�s Biomarkers

V. Thavavel and M. Karthiyayini

Indian Journal of Science and Technology, 2018, 11, 1
DOI: 10.17485/ijst/2018/v11i22/123310

Liquid biopsy in head and neck squamous cell carcinoma: circulating tumor cells, circulating tumor DNA, and exosomes

Wen-Ying Yang, Lin-Fei Feng, Xiang Meng, Ran Chen, Wen-Hua Xu, Jun Hou, Tao Xu and Lei Zhang

Expert Review of Molecular Diagnostics, 2020, 20, 1213
DOI: 10.1080/14737159.2020.1855977

Hybrid Feature Selection Framework for Identification of Alzheimer�s Biomarkers

V. Thavavel and M. Karthiyayini

Indian Journal of Science and Technology, 2018, 11, 1
DOI: 10.17485/ijst/2018/v11i20/123310

Multi-label Learning for the Diagnosis of Cancer and Identification of Novel Biomarkers with High-throughput Omics

Shicai Liu, Hailin Tang, Hongde Liu and Jinke Wang

CBIO, 2021, 16, 261
DOI: 10.2174/1574893615999200623130416

Multiplexed Identification of Bacterial Biofilm Infections Based on Machine-Learning-Aided Lanthanide Encoding

Jie Wang, Zhuoran Jiang, Yurong Wei, Wenjie Wang, Fubing Wang, Yanbing Yang, Heng Song and Quan Yuan

ACS Nano, 2022, 16, 3300
DOI: 10.1021/acsnano.1c11333

Extracellular Vesicle–Based Multianalyte Liquid Biopsy as a Diagnostic for Cancer

Andrew A. Lin, Vivek Nimgaonkar, David Issadore and Erica L. Carpenter

Annu. Rev. Biomed. Data Sci., 2022, 5, 269
DOI: 10.1146/annurev-biodatasci-122120-113218

Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine

Yanhong Duo, Lei Han, Yaoqiang Yang, Zhifeng Wang, Lirong Wang, Jingyi Chen, Zhongyuan Xiang, Juyoung Yoon, Guanghong Luo and Ben Zhong Tang

Chem. Rev., 2024, 124, 11242
DOI: 10.1021/acs.chemrev.4c00244

miRNA panel from HER2+ and CD24+ plasma extracellular vesicle subpopulations as biomarkers of early-stage breast cancer

Griffin B. Spychalski, Andrew A. Lin, Stephanie J. Yang, Hanfei Shen, Jean Rosario, Kyle Tien, Kate French, Miriyam Ghali, Stephanie Yee, Melinda Yin, Michael D. Feldman, Emily F. Conant, Susan P. Weinstein, Erica L. Carpenter, David Issadore and Anupma Nayak

Breast Cancer Res, 2025, 27
DOI: 10.1186/s13058-025-02029-2

Emerging biomarkers for early cancer detection and diagnosis: challenges, innovations, and clinical perspectives

Sameen Zafar, Amna Hafeez, Hania Shah, Iqra Mutiullah, Arslan Ali, Khushbukhat Khan, Gabriela Figueroa-González, Octavio Daniel Reyes-Hernández, Laura Itzel Quintas-Granados, Sheila I. Peña-Corona, Lashyn N. Kiyekbayeva, Monica Butnariu, Cristina-Elena Tota, Angela Caunii, Dietrich Büsselberg, Javad Sharifi-Rad and Gerardo Leyva-Gómez

Eur J Med Res, 2025, 30
DOI: 10.1186/s40001-025-03003-6

Liquid biopsies for cancer: From bench to clinic

Zhenhui Chen, Chenghao Li, Yue Zhou, Yinghao Yao, Jiaqi Liu, Min Wu and Jianzhong Su

MedComm, 2023, 4
DOI: 10.1002/mco2.329

Artificial intelligence in salivary biomarker discovery and validation for oral diseases

John Adeoye and Yu‐Xiong Su

Oral Diseases, 2024, 30, 23
DOI: 10.1111/odi.14641

Bridging biological cfDNA features and machine learning approaches

Tina Moser, Stefan Kühberger, Isaac Lazzeri, Georgios Vlachos and Ellen Heitzer

Trends in Genetics, 2023, 39, 285
DOI: 10.1016/j.tig.2023.01.004

Quantifying the potential benefits of early detection for pancreatic cancer through a counterfactual simulation modeling analysis

Jiheum Park, Francesca Lim, Matthew Prest, Jennifer S. Ferris, Zainab Aziz, Alice Agyekum, Sophie Wagner, Roman Gulati and Chin Hur

Sci Rep, 2023, 13
DOI: 10.1038/s41598-023-46751-3

Liquid biopsies for management of pancreatic cancer

Mohamadmahdi Samandari, María Gil Julia, Alistair Rice, Antonios Chronopoulos and Armando E. del Rio Hernandez

Translational Research, 2018, 201, 98
DOI: 10.1016/j.trsl.2018.07.008

Curriculum classification network based on margin balancing multi-loss and ensemble learning

Shaoyi Du, Yuying Liu, Xijing Wang, Yuting Chi, Nanning Zheng and Yucheng Guo

Future Generation Computer Systems, 2023, 145, 150
DOI: 10.1016/j.future.2023.03.013

Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application

Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov and Dmitry Korzun

Sensors, 2022, 22, 7886
DOI: 10.3390/s22207886

Digital Innovation Enabled Nanomaterial Manufacturing; Machine Learning Strategies and Green Perspectives

Georgios Konstantopoulos, Elias P. Koumoulos and Costas A. Charitidis

Nanomaterials, 2022, 12, 2646
DOI: 10.3390/nano12152646

Potential Applications and Ethical Considerations for Artificial Intelligence in Traumatic Brain Injury Management

Kryshawna Beard, Ashley M. Pennington, Amina K. Gauff, Kelsey Mitchell, Johanna Smith and Donald W. Marion

Biomedicines, 2024, 12, 2459
DOI: 10.3390/biomedicines12112459

Cell-free DNA in sepsis: from molecular insights to clinical management

Lei Li, Hong-Chao Huang, Yin He, Jia-Yue-Cheng Pang, Shi-Chu Xiao, Zhao-Fan Xia and Yong-Jun Zheng

Military Med Res, 2025, 12
DOI: 10.1186/s40779-025-00668-2

Robust detection of infectious disease, autoimmunity, and cancer from the paratope networks of adaptive immune receptors

Zichang Xu, Hendra S Ismanto, Dianita S Saputri, Soichiro Haruna, Guanqun Sun, Jan Wilamowski, Shunsuke Teraguchi, Ayan Sengupta, Songling Li and Daron M Standley

Briefings in Bioinformatics, 2024, 25
DOI: 10.1093/bib/bbae431

Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine

Wafae Abbaoui, Sara Retal, Brahim El Bhiri, Nassim Kharmoum and Soumia Ziti

Informatics in Medicine Unlocked, 2024, 46, 101475
DOI: 10.1016/j.imu.2024.101475

Clinical Applications of Extracellular Vesicles in the Diagnosis and Treatment of Traumatic Brain Injury

Kryshawna Beard, David F. Meaney and David Issadore

Journal of Neurotrauma, 2020, 37, 2045
DOI: 10.1089/neu.2020.6990

Predicting Hypertension Subtypes with Machine Learning Using Targeted Metabolites and Their Ratios

Smarti Reel, Parminder S. Reel, Zoran Erlic, Laurence Amar, Alessio Pecori, Casper K. Larsen, Martina Tetti, Christina Pamporaki, Cornelia Prehn, Jerzy Adamski, Aleksander Prejbisz, Filippo Ceccato, Carla Scaroni, Matthias Kroiss, Michael C. Dennedy, Jaap Deinum, Graeme Eisenhofer, Katharina Langton, Paolo Mulatero, Martin Reincke, Gian Paolo Rossi, Livia Lenzini, Eleanor Davies, Anne-Paule Gimenez-Roqueplo, Guillaume Assié, Anne Blanchard, Maria-Christina Zennaro, Felix Beuschlein and Emily R. Jefferson

Metabolites, 2022, 12, 755
DOI: 10.3390/metabo12080755

Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study

Wanfa Dai, Pei-Feng Ke, Zhen-Zhen Li, Qi-Zhen Zhuang, Wei Huang, Yi Wang, Yujuan Xiong and Xian-Zhang Huang

J Med Internet Res, 2021, 23, e23390
DOI: 10.2196/23390

Liquid biopsy: a step closer to transform diagnosis, prognosis and future of cancer treatments

Saife N. Lone, Sabah Nisar, Tariq Masoodi, Mayank Singh, Arshi Rizwan, Sheema Hashem, Wael El-Rifai, Davide Bedognetti, Surinder K. Batra, Mohammad Haris, Ajaz A. Bhat and Muzafar A. Macha

Mol Cancer, 2022, 21
DOI: 10.1186/s12943-022-01543-7

Mobile platform for rapid sub–picogram-per-milliliter, multiplexed, digital droplet detection of proteins

Venkata Yelleswarapu, Joshua R. Buser, Margalit Haber, Jonathan Baron, Eshwar Inapuri and David Issadore

Proc. Natl. Acad. Sci. U.S.A., 2019, 116, 4489
DOI: 10.1073/pnas.1814110116

Developments in diagnostic applications of saliva in human organ diseases

Yangyang Cui, Mengying Yang, Jia Zhu, Hangkun Zhang, Zhili Duan, Song Wang, Zhenhua Liao and Weiqiang Liu

Medicine in Novel Technology and Devices, 2022, 13, 100115
DOI: 10.1016/j.medntd.2022.100115

Multi-stream encoder and multi-layer comparative learning network for fluid classification based on logging data via wavelet threshold denoising

Hengxiao Li, Sibo Qiao and Youzhuang Sun

Physics of Fluids, 2024, 36
DOI: 10.1063/5.0237910

Proteomic Profiling of Extracellular Vesicles Separated from Plasma of Former National Football League Players at Risk for Chronic Traumatic Encephalopathy

Satoshi Muraoka, Annina M DeLeo, Zijian Yang, Harutsugu Tatebe, Kayo Yukawa-Takamatsu, Seiko Ikezu, Takahiko Tokuda, David Issadore, Robert A Stern and Tsuneya Ikezu

Aging and disease, 2021, 12, 1363
DOI: 10.14336/AD.2020.0908

Novel biomarkers for early detection of gastric cancer

Tasuku Matsuoka and Masakazu Yashiro

World J Gastroenterol, 2023, 29, 2515
DOI: 10.3748/wjg.v29.i17.2515

Collagen: quantification, biomechanics and role of minor subtypes in cartilage

Benjamin J. Bielajew, Jerry C. Hu and Kyriacos A. Athanasiou

Nat Rev Mater, 2020, 5, 730
DOI: 10.1038/s41578-020-0213-1

Artificial Intelligence in Cancer Diagnosis: A Game-changer in Healthcare

Pramit Sahoo, Meghoparna Kundu and Jeenatara Begum

CPB, 2025, 26, 1314
DOI: 10.2174/0113892010298852240528123911

A biological function based biomarker panel optimization process

Min Young Lee, Taek-Kyun Kim, Kathie-Anne Walters and Kai Wang

Sci Rep, 2019, 9
DOI: 10.1038/s41598-019-43779-2

Extracellular Vesicles: Techniques and Biomedical Applications Related to Single Vesicle Analysis

Jie Zhang, Jiacheng Wu, Guanzhao Wang, Luxuan He, Ziwei Zheng, Minhao Wu and Yuanqing Zhang

ACS Nano, 2023, 17, 17668
DOI: 10.1021/acsnano.3c03172

Enhancing clinical potential of liquid biopsy through a multi-omic approach: A systematic review

Gianna Di Sario, Valeria Rossella, Elvira Smeralda Famulari, Aurora Maurizio, Dejan Lazarevic, Francesca Giannese and Claudia Felici

Front. Genet., 2023, 14
DOI: 10.3389/fgene.2023.1152470

Cell-Free HPV-DNA as a Biomarker for Oropharyngeal Squamous Cell Carcinoma—A Step Towards Personalized Medicine?

Nora Wuerdemann, Rishabh Jain, Anne Adams, Ernst-Jan M. Speel, Steffen Wagner, Simon A. Joosse and Jens P. Klussmann

Cancers, 2020, 12, 2997
DOI: 10.3390/cancers12102997

Metastatic Melanoma: Liquid Biopsy as a New Precision Medicine Approach

Elena Ricciardi, Elena Giordani, Giovanna Ziccheddu, Italia Falcone, Patrizio Giacomini, Maurizio Fanciulli, Michelangelo Russillo, Marianna Cerro, Gennaro Ciliberto, Aldo Morrone, Antonino Guerrisi and Fabio Valenti

IJMS, 2023, 24, 4014
DOI: 10.3390/ijms24044014

Liquid Biopsy in der Tumordiagnostik

Ulrich Lehmann and Stephan Bartels

Wien klin Mag, 2020, 23, 38
DOI: 10.1007/s00740-019-00314-3

Commentary: Machine Learning-Driven Metabolomic Evaluation of Cerebrospinal Fluid: Insights Into Poor Outcomes After Aneurysmal Subarachnoid Hemorrhage

Mark N Pernik, Jeffrey I Traylor, Tarek Y El Ahmadieh, Carlos A Bagley and Salah G Aoun

Neurosurg., 2021, 88, E410
DOI: 10.1093/neuros/nyaa595

Future of Digital Assays to Resolve Clinical Heterogeneity of Single Extracellular Vesicles

Renee-Tyler T. Morales and Jina Ko

ACS Nano, 2022, 16, 11619
DOI: 10.1021/acsnano.2c04337

Peripheral transcriptomic biomarkers for early detection of sporadic Alzheimer disease?

Adva Hadar and David Gurwitz

Dialogues in Clinical Neuroscience, 2018, 20, 293
DOI: 10.31887/DCNS.2018.20.4/dgurwitz

Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare

Fergus Imrie, Robert Davis and Mihaela van der Schaar

Nat Mach Intell, 2023, 5, 824
DOI: 10.1038/s42256-023-00698-2

Role of artificial intelligence and machine learning in haematology

Maniragav Manimaran, Anmol Arora, Christopher A Lovejoy, William Gao and Mahiben Maruthappu

J Clin Pathol, 2022, 75, 585
DOI: 10.1136/jclinpath-2021-208127

Untargeted Salivary Metabolomics and Proteomics: Paving the Way for Early Detection of Periodontitis

Mariacristina Amato, Alessandro Polizzi, Andrea Blasi, Cristina Grippaudo and Gaetano Isola

Applied Sciences, 2025, 15, 6642
DOI: 10.3390/app15126642

Toward the Early Detection of Cancer by Decoding the Epigenetic and Environmental Fingerprints of Cell-Free DNA

Ymke van der Pol and Florent Mouliere

Cancer Cell, 2019, 36, 350
DOI: 10.1016/j.ccell.2019.09.003

Artificial intelligence in oncology: From bench to clinic

Jamal Elkhader and Olivier Elemento

Seminars in Cancer Biology, 2022, 84, 113
DOI: 10.1016/j.semcancer.2021.04.013

Telomere Length Changes in Cancer: Insights on Carcinogenesis and Potential for Non-Invasive Diagnostic Strategies

Zuzana Holesova, Lucia Krasnicanova, Rami Saade, Ondrej Pös, Jaroslav Budis, Juraj Gazdarica, Vanda Repiska and Tomas Szemes

Genes, 2023, 14, 715
DOI: 10.3390/genes14030715

Glycoproteins as diagnostic and prognostic biomarkers for neurodegenerative diseases: A glycoproteomic approach

Ming‐ming Xu, Mao‐tian Zhou, Shu‐wei Li, Xue‐chu Zhen and Shuang Yang

J of Neuroscience Research, 2021, 99, 1308
DOI: 10.1002/jnr.24805

Glycans as Biomarkers in Prostate Cancer

Emma Scott and Jennifer Munkley

IJMS, 2019, 20, 1389
DOI: 10.3390/ijms20061389

Integrating multi-omic liquid biopsies and artificial intelligence: The next frontier in early cancer detection

Esmaeil Mahmoudi, Mona Ebrahimi and Elham Bahramian

Intelligent Oncology, 2026, 2, 100034
DOI: 10.1016/j.intonc.2025.12.002

Clinical Impact of Exosomes in Colorectal Cancer Metastasis

Srestha Ghosh, Rajib Dhar, Gauresh Gurudas Shivji, Dwaipayan Dey, Arikketh Devi, Saurabh Kumar Jha, Manab Deb Adhikari and Sukhamoy Gorai

ACS Appl. Bio Mater., 2023, 6, 2576
DOI: 10.1021/acsabm.3c00199

The History and Future of Basic and Translational Cell-Free DNA Research at a Glance

Peter B. Gahan, Heidi Schwarzenbach and Philippe Anker

Diagnostics, 2022, 12, 1192
DOI: 10.3390/diagnostics12051192

Non-coding RNAs as liquid biopsy biomarkers in cancer

Shusuke Toden and Ajay Goel

Br J Cancer, 2022, 126, 351
DOI: 10.1038/s41416-021-01672-8

Liquid biopsy – a narrative review with an update on current US governmental clinical trials targeting immunotherapy

Fan Shen, Samar A. Zailaie, Brian Chiu, Anthony Magliocco and Consolato M. Sergi

Future Science OA, 2025, 11
DOI: 10.1080/20565623.2025.2527598

Proteomic and biological profiling of extracellular vesicles from Alzheimer's disease human brain tissues

Satoshi Muraoka, Annina M. DeLeo, Manveen K. Sethi, Kayo Yukawa‐Takamatsu, Zijian Yang, Jina Ko, John D. Hogan, Zhi Ruan, Yang You, Yuzhi Wang, Maria Medalla, Seiko Ikezu, Mei Chen, Weiming Xia, Santhi Gorantla, Howard E. Gendelman, David Issadore, Joseph Zaia and Tsuneya Ikezu

Alzheimer's & Dementia, 2020, 16, 896
DOI: 10.1002/alz.12089

Deep learning of circulating tumour cells

Leonie L. Zeune, Yoeri E. Boink, Guus van Dalum, Afroditi Nanou, Sanne de Wit, Kiki C. Andree, Joost F. Swennenhuis, Stephan A. van Gils, Leon W.M.M. Terstappen and Christoph Brune

Nat Mach Intell, 2020, 2, 124
DOI: 10.1038/s42256-020-0153-x

miRNA Profiling of Magnetic Nanopore–Isolated Extracellular Vesicles for the Diagnosis of Pancreatic Cancer

Jina Ko, Neha Bhagwat, Taylor Black, Stephanie S. Yee, Young-Ji Na, Stephen Fisher, Junhyong Kim, Erica L. Carpenter, Ben Z. Stanger and David Issadore

Cancer Research, 2018, 78, 3688
DOI: 10.1158/0008-5472.CAN-17-3703

Comprehensive Approach to Distinguish Patients with Solid Tumors from Healthy Controls by Combining Androgen Receptor Mutation p.H875Y with Cell-Free DNA Methylation and Circulating miRNAs

Elena Tomeva, Olivier J. Switzeny, Clemens Heitzinger, Berit Hippe and Alexander G. Haslberger

Cancers, 2022, 14, 462
DOI: 10.3390/cancers14020462

Circulating Biomarkers Instead of Genotyping to Establish Metabolizer Phenotypes

Roman Tremmel, Ute Hofmann, Mathias Haag, Elke Schaeffeler and Matthias Schwab

Annu. Rev. Pharmacol. Toxicol., 2024, 64, 65
DOI: 10.1146/annurev-pharmtox-032023-121106

Detection of incipient tumours by screening of circulating plasma DNA: hype or hope?

Liesbeth Lenaerts, Stefania Tuveri, Tatjana Jatsenko, Frédéric Amant and Joris Robert Vermeesch

Acta Clinica Belgica, 2020, 75, 9
DOI: 10.1080/17843286.2019.1671653

The Role of Artificial Intelligence in Early Cancer Diagnosis

Benjamin Hunter, Sumeet Hindocha and Richard W. Lee

Cancers, 2022, 14, 1524
DOI: 10.3390/cancers14061524

An Immunological Perspective of Circulating Tumor Cells as Diagnostic Biomarkers and Therapeutic Targets

Eunice Dotse, King H. Lim, Meijun Wang, Kevin Julio Wijanarko and Kwan T. Chow

Life, 2022, 12, 323
DOI: 10.3390/life12020323

Advances in artificial intelligence to predict cancer immunotherapy efficacy

Jindong Xie, Xiyuan Luo, Xinpei Deng, Yuhui Tang, Wenwen Tian, Hui Cheng, Junsheng Zhang, Yutian Zou, Zhixing Guo and Xiaoming Xie

Front. Immunol., 2023, 13
DOI: 10.3389/fimmu.2022.1076883

Circulating tumor DNA – Current state of play and future perspectives

Gabriele De Rubis, Sabna Rajeev Krishnan and Mary Bebawy

Pharmacological Research, 2018, 136, 35
DOI: 10.1016/j.phrs.2018.08.017

Advances in Analytical Technologies for Extracellular Vesicles

He Yan, Yutao Li, Shibo Cheng and Yong Zeng

Anal. Chem., 2021, 93, 4739
DOI: 10.1021/acs.analchem.1c00693

Big data: Historic advances and emerging trends in biomedical research

Conor John Cremin, Sabyasachi Dash and Xiaofeng Huang

Current Research in Biotechnology, 2022, 4, 138
DOI: 10.1016/j.crbiot.2022.02.004

Breakthroughs and Applications of Organ-on-a-Chip Technology

Mufeeda C. Koyilot, Priyadarshini Natarajan, Clayton R. Hunt, Sonish Sivarajkumar, Romy Roy, Shreeram Joglekar, Shruti Pandita, Carl W. Tong, Shamsudheen Marakkar, Lakshminarayanan Subramanian, Shalini S. Yadav, Anoop V. Cherian, Tej K. Pandita, Khader Shameer and Kamlesh K. Yadav

Cells, 2022, 11, 1828
DOI: 10.3390/cells11111828

Recent progress in prompt molecular detection of liquid biopsy using Cas enzymes: innovative approaches for cancer diagnosis and analysis

Zahra Farshchian Yazdi, Shahrzad Roshannezhad, Samaneh Sharif and Mohammad Reza Abbaszadegan

J Transl Med, 2024, 22
DOI: 10.1186/s12967-024-05908-y

Blood-based transcriptomic signature panel identification for cancer diagnosis: benchmarking of feature extraction methods

Abhishek Vijayan, Shadma Fatima, Arcot Sowmya and Fatemeh Vafaee

Briefings in Bioinformatics, 2022, 23
DOI: 10.1093/bib/bbac315

Serum RNAs can predict lung cancer up to 10 years prior to diagnosis

Sinan U Umu, Hilde Langseth, Verena Zuber, Åslaug Helland, Robert Lyle and Trine B Rounge

eLife, 2022, 11
DOI: 10.7554/eLife.71035

AI-Powered Microfluidics: Shaping the Future of Phenotypic Drug Discovery

Junchi Liu, Hanze Du, Lei Huang, Wangni Xie, Kexuan Liu, Xue Zhang, Shi Chen, Yuan Zhang, Daowei Li and Hui Pan

ACS Appl. Mater. Interfaces, 2024, 16, 38832
DOI: 10.1021/acsami.4c07665

From Lab to Clinic: Artificial Intelligence with Spectroscopic Liquid Biopsies

Rose G. McHardy, James M. Cameron, David Andrew Eustace, Matthew J. Baker and David S. Palmer

Diagnostics, 2025, 15, 2589
DOI: 10.3390/diagnostics15202589

Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives

Muqadas Shahzadi, Hamad Rafique, Ahmad Waheed, Hina Naz, Atifa Waheed, Feruza Ravshanovna Zokirova and Humera Khan

Therapeutic Advances in Vaccines and Immunotherapy, 2024, 12
DOI: 10.1177/25151355241305856

Multi-Dimensional Mapping of Brain-Derived Extracellular Vesicle MicroRNA Biomarker for Traumatic Brain Injury Diagnostics

Jina Ko, Matthew Hemphill, Zijian Yang, Kryshawna Beard, Emily Sewell, Jamie Shallcross, Melissa Schweizer, Danielle K. Sandsmark, Ramon Diaz-Arrastia, Junhyong Kim, David Meaney and David Issadore

Journal of Neurotrauma, 2020, 37, 2424
DOI: 10.1089/neu.2018.6220

Ultra-Wideband (UWB) characteristic estimation of elliptic patch antenna based on machine learning techniques

Duygu Nazan Gençoğlan, Mustafa Turan Arslan, Şule Çolak and Esen Yildirim

Frequenz, 2020, 74, 351
DOI: 10.1515/freq-2019-0210

Applying artificial intelligence for cancer immunotherapy

Zhijie Xu, Xiang Wang, Shuangshuang Zeng, Xinxin Ren, Yuanliang Yan and Zhicheng Gong

Acta Pharmaceutica Sinica B, 2021, 11, 3393
DOI: 10.1016/j.apsb.2021.02.007

Elements of liquid biopsies: isolation, analysis, and clinical application in cancer diagnosis to prognosis

Nishtha Mahendra Kumar, Niyati Navaneeth, Abhijith Shettar and Anupama Chelimeswamy

Expert Review of Molecular Diagnostics, 2024, 24, 1139
DOI: 10.1080/14737159.2024.2445111

Circulating Tumor Cell Detection in Lung Cancer: But to What End?

Véronique Hofman, Simon Heeke, Charles-Hugo Marquette, Marius Ilié and Paul Hofman

Cancers, 2019, 11, 262
DOI: 10.3390/cancers11020262

Progress and application of lung-on-a-chip for lung cancer

Lantao Li, Wentao Bo, Guangyan Wang, Xin Juan, Haiyi Xue and Hongwei Zhang

Front. Bioeng. Biotechnol., 2024, 12
DOI: 10.3389/fbioe.2024.1378299

AI-powered liquid biopsy for early detection of gastrointestinal cancers

Md Sadique Hussain, Mokhtar Rejili, Amna Khan, Saud O. Alshammari, Ching Siang Tan, Faouzi Haouala, Sumel Ashique and Qamar A. Alshammari

Clinica Chimica Acta, 2025, 577, 120484
DOI: 10.1016/j.cca.2025.120484

Current and future perspectives of liquid biopsies in genomics-driven oncology

Ellen Heitzer, Imran S. Haque, Charles E. S. Roberts and Michael R. Speicher

Nat Rev Genet, 2019, 20, 71
DOI: 10.1038/s41576-018-0071-5

Liquid Biopsy in der Tumordiagnostik

U. Lehmann and S. Bartels

Pathologe, 2019, 40, 250
DOI: 10.1007/s00292-019-0604-5

Understanding the organ tropism of metastatic breast cancer through the combination of liquid biopsy tools

Lorenzo Gerratana, Andrew A. Davis, Maurizio Polano, Qiang Zhang, Ami N. Shah, Chenyu Lin, Debora Basile, Giuseppe Toffoli, Firas Wehbe, Fabio Puglisi, Amir Behdad, Leonidas C. Platanias, William J. Gradishar and Massimo Cristofanilli

European Journal of Cancer, 2021, 143, 147
DOI: 10.1016/j.ejca.2020.11.005

Unravelling tumour heterogeneity by single-cell profiling of circulating tumour cells

Laura Keller and Klaus Pantel

Nat Rev Cancer, 2019, 19, 553
DOI: 10.1038/s41568-019-0180-2

Machine Learning in Nanoscience: Big Data at Small Scales

Keith A. Brown, Sarah Brittman, Nicolò Maccaferri, Deep Jariwala and Umberto Celano

Nano Lett., 2020, 20, 2
DOI: 10.1021/acs.nanolett.9b04090

Development of a prognostic model for mortality in COVID-19 infection using machine learning

Adam L. Booth, Elizabeth Abels and Peter McCaffrey

Modern Pathology, 2021, 34, 522
DOI: 10.1038/s41379-020-00700-x

Circulating cell-free DNA for cancer early detection

Qiang Gao, Qiang Zeng, Zhijie Wang, Chengcheng Li, Yu Xu, Peng Cui, Xin Zhu, Huafei Lu, Guoqiang Wang, Shangli Cai, Jie Wang and Jia Fan

The Innovation, 2022, 3, 100259
DOI: 10.1016/j.xinn.2022.100259

Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach

Kevin J. DiSilvestro, Ashwin Veeramani, Christopher L. McDonald, Andrew S. Zhang, Eren O. Kuris, Wesley M. Durand, Eric M. Cohen and Alan H. Daniels

World Neurosurgery, 2021, 146, e917
DOI: 10.1016/j.wneu.2020.11.037

Immunomodulatory role of vitamin D and emerging immunotherapies in hepatocellular carcinoma

Maurizio Chiriva-Internati, Fabio Grizzi, Marta Noemi Monari, Gianluigi Taverna, Jose A. Figueroa, Wei Daoyan and Robert S. Bresalier

Front. Nutr., 2025, 12
DOI: 10.3389/fnut.2025.1611829

Clinical Theranostics Trademark of Exosome in Glioblastoma Metastasis

Sagnik Nag, Bikramjit Bhattacharya, Swagata Dutta, Debashmita Mandal, Sayantanee Mukherjee, Krishnan Anand, Rajalakshmanan Eswaramoorthy, Nanasaheb Thorat, Saurabh Kumar Jha and Sukhamoy Gorai

ACS Biomater. Sci. Eng., 2023, 9, 5205
DOI: 10.1021/acsbiomaterials.3c00212

Enhanced Detection of Gastrointestinal Malignancies using Machine Learning-Optimized Liquid Biopsy: A Mini Review

Shankar Ganesh Muthusamy and Venkateswaramurthy Nallasamy

CCDT, 2025, 25, 1482
DOI: 10.2174/0115680096329098240920043326

A neural tract-inspired conduit for facile, on-demand biopsy of glioblastoma

Martha I Betancur, Ayden Case, Ekaterina Ilich, Nalini Mehta, Sean Meehan, Sabrina Pogrebivsky, Stephen T Keir, Kevin Stevenson, Barun Brahma, Simon Gregory, Wei Chen, David M Ashley, Ravi Bellamkonda and Nassir Mokarram

Neuro-Oncology Advances, 2024, 6
DOI: 10.1093/noajnl/vdae064

Scalable Signature-Based Molecular Diagnostics Through On-chip Biomarker Profiling Coupled with Machine Learning

John Molinski, Amogha Tadimety, Alison Burklund and John X. J. Zhang

Ann Biomed Eng, 2020, 48, 2377
DOI: 10.1007/s10439-020-02593-y

Nucleic acid liquid biopsies in cardiovascular disease: Cell-free DNA liquid biopsies in cardiovascular disease

Tyler Artner, Smriti Sharma and Irene M. Lang

Atherosclerosis, 2024, 398, 118583
DOI: 10.1016/j.atherosclerosis.2024.118583

High-Performance Deep learning to Detection and Tracking Tomato Plant Leaf Predict Disease and Expert Systems

Yaser AbdulAali Jasim

ADCAIJ, 2021, 10
DOI: 10.14201/ADCAIJ202110297122

Breast cancer diagnosis based on lipid profiling by probe electrospray ionization mass spectrometry

T Iwano, K Yoshimura, S Inoue, T Odate, K Ogata, S Funatsu, H Tanihata, T Kondo, D Ichikawa and S Takeda

British Journal of Surgery, 2020, 107, 632
DOI: 10.1002/bjs.11613

Can Artificial Intelligence Accelerate Fluid Mechanics Research?

Dimitris Drikakis and Filippos Sofos

Fluids, 2023, 8, 212
DOI: 10.3390/fluids8070212

Photonic Technologies for Liquid Biopsies: Recent Advances and Open Research Challenges

Francesco Dell'Olio, Judith Su, Thomas Huser, Virginie Sottile, Luis Enrique Cortés‐Hernández and Catherine Alix‐Panabières

Laser & Photonics Reviews, 2021, 15
DOI: 10.1002/lpor.202000255

Exosomes in melanoma: Future potential for clinical theranostics

Asmit Das, Swarup Sonar, Rajib Dhar and Vetriselvan Subramaniyan

Pathology - Research and Practice, 2025, 269, 155950
DOI: 10.1016/j.prp.2025.155950

Lifespan prediction of lithium-ion batteries based on various extracted features and gradient boosting regression tree model

Fangfang Yang, Dong Wang, Fan Xu, Zhelin Huang and Kwok-Leung Tsui

Journal of Power Sources, 2020, 476, 228654
DOI: 10.1016/j.jpowsour.2020.228654