Algorithm for DNA sequence assembly by quantum annealing by Katarzyna Nałęcz-Charkiewicz, Robert M. Nowak

“…In recent years, the dynamic development of next-generation sequencing (NGS) methods raises hopes for making whole-genome sequencing a fast and reliable tool used, for example, in medical diagnostics. However, this is hampered by the slowness and computational requirements of the current processing algorithms, which raises the need to develop more efficient algorithms. …”
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Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency by Christine M. Cutillo, Karlie R. Sharma, Luca Foschini, Shinjini Kundu, Maxine Mackintosh, Kenneth D. Mandl, MI in Healthcare Workshop Working Group

“…Machine Intelligence (MI) is rapidly becoming an important approach across biomedical discovery, clinical research, medical diagnostics/devices, and precision medicine. Such tools can uncover new possibilities for researchers, physicians, and patients, allowing them to make more informed decisions and achieve better outcomes. …”
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Automation System for the Flexible Sample Preparation for Quantification of Δ9-THC-D₃, THC-OH and THC-COOH from Serum, Saliva and Urine by Anna Bach, Heidi Fleischer, Bhagya Wijayawardena, Kerstin Thurow

“…However, there is also an increasing need for automated solutions in the field of medical diagnostics, e.g., for the determination of vitamins, medication or drug abuse. …”
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An Improved Nested U-Net Network for Fluorescence In Situ Hybridization Cell Image Segmentation by Zini Jian, Tianxiang Song, Zhihui Zhang, Zhao Ai, Heng Zhao, Man Tang, Kan Liu

“…This technique is proving to be an invaluable tool in medical diagnostics and has made significant contributions to biology and the life sciences. …”
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Determinants of Schizophrenia Endophenotypes Based on Neuroimaging and Biochemical Parameters by Amira Bryll, Wirginia Krzyściak, Paulina Karcz, Maciej Pilecki, Natalia Śmierciak, Marta Szwajca, Anna Skalniak, Tadeusz J. Popiela

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One-Pot Synthesis of Silica-Coated Gold Nanostructures Loaded with Cyanine 5.5 for Cell Imaging by SERS Spectroscopy by Aleksei N. Smirnov, Simar F. Aslanov, Denis V. Danilov, Olga Yu. Kurapova, Elena V. Solovyeva

“…Anisotropic gold nanoparticles have been recognized as promising agents for medical diagnostics and cancer therapy due to their wide functionality, photothermal effect, and ability for optical signal amplification in the near-infrared range. …”
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Artificial Intelligence Algorithms for Treatment of Diabetes by Mudassir M. Rashid, Mohammad Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu, Ali Cinar

“…The treatment and management of complex chronic diseases, such as diabetes, stands to benefit from novel AI algorithms analyzing the frequent real-time streaming data and the occasional medical diagnostics and laboratory test results reported in electronic health records (EHR). …”
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A Fully Transparent Flexible Sensor for Cryogenic Temperatures Based on High Strength Metallurgical Graphene by Ryszard Pawlak, Marcin Lebioda, Jacek Rymaszewski, Witold Szymanski, Lukasz Kolodziejczyk, Piotr Kula

“…Low-temperature electronics operating in below zero temperatures or even below the lower limit of the common −65 to 125 °C temperature range are essential in medical diagnostics, in space exploration and aviation, in processing and storage of food and mainly in scientific research, like superconducting materials engineering and their applications—superconducting magnets, superconducting energy storage, and magnetic levitation systems. …”
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Unravelling the Potential of Salivary Volatile Metabolites in Oral Diseases. A Review by Jorge A. M. Pereira, Priscilla Porto-Figueira, Ravindra Taware, Pritam Sukul, Srikanth Rapole, José S. Câmara

“…Fostered by the advances in the instrumental and analytical fields, in recent years the analysis of volatile organic compounds (VOCs) has emerged as a new frontier in medical diagnostics. VOCs analysis is a non-invasive, rapid and inexpensive strategy with promising potential in clinical diagnostic procedures. …”
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Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning by Cameron Celeste, Dion Ming, Justin Broce, Diandra P. Ojo, Emma Drobina, Adetola F. Louis-Jacques, Juan E. Gilbert, Ruogu Fang, Ivana K. Parker

“…Abstract While machine learning (ML) has shown great promise in medical diagnostics, a major challenge is that ML models do not always perform equally well among ethnic groups. …”
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Automated Segmentation of Optical Coherence Tomography Images of the Human Tympanic Membrane Using Deep Learning by Thomas P. Oghalai, Ryan Long, Wihan Kim, Brian E. Applegate, John S. Oghalai

“…To streamline data analysis and image processing, we applied a machine learning algorithm to identify and segment the key anatomical structure of interest for medical diagnostics, the tympanic membrane. Using 3D volumes of the human tympanic membrane, we used thresholding and contour finding to locate a series of objects. …”
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Robust Classification Using Posterior Probability Threshold Computation Followed by Voronoi Cell Based Class Assignment Circumventing Pitfalls of Bayesian Analysis of Biomedical Da... by Alfred Ultsch, Jörn Lötsch

“…The approach is demonstrated on biomedical data typically analyzed with Bayesian statistics, such as flow cytometric data sets or biomarkers used in medical diagnostics, where it increased the class assignment accuracy by 1–10% depending on the data set. …”
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Implantable biomedical sensor array with biocompatible hermetic encapsulation by C. Jorsch, U. Schmidt, D. Ulkoski, C. Scholz, M. Guenther, G. Gerlach

“…In this regard, the on-line medical diagnostics attracts the main interest. The developed sensor system and its encapsulation should correspond to high requirements on the biocompatibility of implants according to the medical standard DIN EN ISO 10993-5. …”
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Snapshot spectral imaging: from spatial-spectral mapping to metasurface-based imaging by Ding Kaiyang, Wang Ming, Chen Mengyuan, Wang Xiaohao, Ni Kai, Zhou Qian, Bai Benfeng

“…Snapshot spectral imaging technology enables the capture of complete spectral information of objects in an extremely short period of time, offering wide-ranging applications in fields requiring dynamic observations such as environmental monitoring, medical diagnostics, and industrial inspection. In the past decades, snapshot spectral imaging has made remarkable breakthroughs with the emergence of new computational theories and optical components. …”
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Continuous Synthesis of Spherical Polyelectrolyte Brushes by Photo-Emulsion Polymerization in a Microreactor by Ziyu Zhang, Yuhua Zhang, Yang Tian, Zhinan Fu, Jiangtao Guo, Guofeng He, Li Li, Fang Zhao, Xuhong Guo

“…Nanosized spherical polyelectrolyte brushes (SPBs) are ideal candidates for the preparation of nanometal catalysts, protein separation, and medical diagnostics. Until now, SPBs have been synthesized by photo-emulsion polymerization in a batch reactor, which remains challenging to scale up. …”
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Microbe-Mediated Biosynthesis of Nanoparticles: Applications and Future Prospects by Bhupendra Koul, Anil Kumar Poonia, Dhananjay Yadav, Jun-O Jin

“…In last few decades, nanoscience has attracted the attention of the scientific community worldwide due to its potential uses in the pharmacy, medical diagnostics and disease treatment, energy, electronics, agriculture, chemical and space industries. …”
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Formation of Carbon Quantum Dots via Hydrothermal Carbonization: Investigate the Effect of Precursors by Md Rifat Hasan, Nepu Saha, Thomas Quaid, M. Toufiq Reza

“…CQDs have a wide range of applications such as medical diagnostics, bio-imaging, biosensors, coatings, solar cells, and photocatalysis. …”
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A Diabetes Prediction System Based on Incomplete Fused Data Sources by Zhaoyi Yuan, Hao Ding, Guoqing Chao, Mingqiang Song, Lei Wang, Weiping Ding, Dianhui Chu

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Computer-aided DSM-IV-diagnostics – acceptance, use and perceived usefulness in relation to users' learning styles by Fors Uno GH, Bergman Lars G

“…<p>Abstract</p> <p>Background</p> <p>CDSS (computerized decision support system) for medical diagnostics have been studied for long. This study was undertaken to investigate how different preferences of Learning Styles (LS) of psychiatrists might affect <it>acceptance</it>, <it>use </it>and <it>perceived usefulness </it>of a CDSS for diagnostics in psychiatry.…”
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A Novel Approach to Decision-Making on Diagnosing Oncological Diseases Using Machine Learning Classifiers Based on Datasets Combining Known and/or New Generated Features of a Diffe... by Liliya A. Demidova

“…These datasets were used to develop a group of multiclass kNN and SVM classifiers using oversampling algorithms to solve the problem of class imbalance in the dataset, which is typical for medical diagnostics problems. The results of the experimental studies confirmed the feasibility of using the UMAP algorithm and approximation entropy, as well as Katz and Higuchi fractal dimensions to generate new features based on blood protein markers. …”
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