Cancers | Most Viewed Papers in 2023 in the Section “Methods and Technologies Development”

We are pleased to invite you to read the most viewed papers in 2023 in Cancers (ISSN: 2072-6694) on the topic of methods and technologies development. The paper list is as follows:

“Multiphysics Modeling of Low-Intensity Pulsed Ultrasound Induced Chemotherapeutic Drug Release from the Surface of Gold Nanoparticles”
by Tyler K. Hornsby, Farshad Moradi Kashkooli, Anshuman Jakhmola, Michael C. Kolios and Jahangir (Jahan) Tavakkoli
Cancers 2023, 15(2), 523; https://doi.org/10.3390/cancers15020523
Available online: https://www.mdpi.com/2072-6694/15/2/523

“Hybrid Quantum Neural Network for Drug Response Prediction”
by Asel Sagingalieva, Mohammad Kordzanganeh, Nurbolat Kenbayev, Daria Kosichkina, Tatiana Tomashuk and Alexey Melnikov
Cancers 2023, 15(10), 2705; https://doi.org/10.3390/cancers15102705
Available online: https://www.mdpi.com/2072-6694/15/10/2705

“New Frontiers in Colorectal Cancer Treatment Combining Nanotechnology with Photo- and Radiotherapy”
by Sara C. Freitas, Daniel Sanderson, Sofia Caspani, Ricardo Magalhães, Belén Cortés-Llanos, Andreia Granja, Salette Reis, João Horta Belo, José Azevedo, Maria Victoria Gómez-Gaviro et al.
Cancers 2023, 15(2), 383; https://doi.org/10.3390/cancers15020383
Available online: https://www.mdpi.com/2072-6694/15/2/383

“Detection Efficacy of 68Ga-PSMA-11 PET/CT in Biochemical Recurrence of Prostate Cancer with Very Low PSA Levels: A 7-Year, Two-Center “Real-World” Experience”
by Caroline Burgard, Manuela A. Hoffmann, Madita Frei, Hans-Georg Buchholz, Fadi Khreish, Robert J. Marlowe, Mathias Schreckenberger, Samer Ezziddin and Florian Rosar
Cancers 2023, 15(5), 1376; https://doi.org/10.3390/cancers15051376
Available online: https://www.mdpi.com/2072-6694/15/5/1376

“Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction”
by Sebastian Gassenmaier, Verena Warm, Dominik Nickel, Elisabeth Weiland, Judith Herrmann, Haidara Almansour, Daniel Wessling and Saif Afat
Cancers 2023, 15(3), 578; https://doi.org/10.3390/cancers15030578
Available online: https://www.mdpi.com/2072-6694/15/3/578

“Micro-Ultrasound: Current Role in Prostate Cancer Diagnosis and Future Possibilities”
by Adriano Basso Dias and Sangeet Ghai
Cancers 2023, 15(4), 1280; https://doi.org/10.3390/cancers15041280
Available online: https://www.mdpi.com/2072-6694/15/4/1280

“CBCT-to-CT Translation Using Registration-Based Generative Adversarial Networks in Patients with Head and Neck Cancer”
by Chitchaya Suwanraksa, Jidapa Bridhikitti, Thiansin Liamsuwan and Sitthichok Chaichulee
Cancers 2023, 15(7), 2017; https://doi.org/10.3390/cancers15072017
Available online: https://www.mdpi.com/2072-6694/15/7/2017

“Henry Gas Solubility Optimization Algorithm based Feature Extraction in Dermoscopic Images Analysis of Skin Cancer”
by Marwa Obayya, Adeeb Alhebri, Mashael Maashi, Ahmed S. Salama, Anwer Mustafa Hilal, Mohamed Ibrahim Alsaid, Azza Elneil Osman and Amani A. Alneil
Cancers 2023, 15(7), 2146; https://doi.org/10.3390/cancers15072146
Available online: https://www.mdpi.com/2072-6694/15/7/2146

“Relative Risk of Bladder and Kidney Cancer in Lynch Syndrome: Systematic Review and Meta-Analysis”
by Anthony-Joe Nassour, Anika Jain, Nicholas Hui, George Siopis, James Symons and Henry Woo
Cancers 2023, 15(2), 506; https://doi.org/10.3390/cancers15020506
Available online: https://www.mdpi.com/2072-6694/15/2/506

“An Overview of Ovarian Cancer: The Role of Cancer Stem Cells in Chemoresistance and a Precision Medicine Approach Targeting the Wnt Pathway with the Antagonist sFRP4”
by Lavanya Varier, S. Mohana Sundaram, Naisarg Gamit and Sudha Warrier
Cancers 2023, 15(4), 1275; https://doi.org/10.3390/cancers15041275
Available online: https://www.mdpi.com/2072-6694/15/4/1275

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Cancers Editorial Office