On-Chip Photonic Detection Techniques for Non-Invasive In Situ Characterizations at the Microfluidic Scale by Tamar Kurdadze, Fabrice Lamadie, Karen A. Nehme, Sébastien Teychené, Béatrice Biscans, Isaac Rodriguez-Ruiz

“…Microfluidics has emerged as a robust technology for diverse applications, ranging from bio-medical diagnostics to chemical analysis. Among the different characterization techniques that can be used to analyze samples at the microfluidic scale, the coupling of photonic detection techniques and on-chip configurations is particularly advantageous due to its non-invasive nature, which permits sensitive, real-time, high throughput, and rapid analyses, taking advantage of the microfluidic special environments and reduced sample volumes. …”
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A Recombinase-Based Genetic Circuit for Heavy Metal Monitoring by Doğuş Akboğa, Behide Saltepe, Eray Ulaş Bozkurt, Urartu Özgür Şafak Şeker

“…Rapid progress in the genetic circuit design enabled whole-cell biosensors (WCBs) to become prominent in detecting an extensive range of analytes with promise in many fields, from medical diagnostics to environmental toxicity assessment. …”
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Aptasensors for Point-of-Care Detection of Small Molecules by Marc Prante, Ester Segal, Thomas Scheper, Janina Bahnemann, Johanna Walter

“…Aptamer technology for POCT is not limited just to medical diagnostics; it can be used for a range of applications, including environmental monitoring and quality control. …”
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A Comparison of the State-of-the-Art Deep Learning Platforms: An Experimental Study by Abdullah Talha Kabakuş

“…Deep learning, a subfield of machine learning, has proved its efficacy on a wide range of applications including but not limited to computer vision, text analysis and natural language processing, algorithm enhancement, computational biology, physical sciences, and medical diagnostics by producing results superior to the state-of-the-art approaches. …”
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Machine learning in point-of-care automated classification of oral potentially malignant and malignant disorders: a systematic review and meta-analysis by Ashley Ferro, Sanjeev Kotecha, Kathleen Fan

“…Abstract Machine learning (ML) algorithms are becoming increasingly pervasive in the domains of medical diagnostics and prognostication, afforded by complex deep learning architectures that overcome the limitations of manual feature extraction. …”
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All-optical nuclear quantum sensing using nitrogen-vacancy centers in diamond by B. Bürgler, T. F. Sjolander, O. Brinza, A. Tallaire, J. Achard, P. Maletinsky

“…Abstract Solid state spins have demonstrated significant potential in quantum sensing with applications including fundamental science, medical diagnostics and navigation. The quantum sensing schemes showing best performance under ambient conditions all utilize microwave or radio-frequency driving, which poses a significant limitation for miniaturization, energy efficiency, and non-invasiveness of quantum sensors. …”
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PMUT and CMUT Devices for Biomedical Applications: A Review by Elisabetta Moisello, Lara Novaresi, Eshani Sarkar, Piero Malcovati, Tiago L. Costa, Edoardo Bonizzoni

“…The advantages and drawbacks of PMUT and CMUT technologies in comparison with conventional bulk transducers are highlighted, the trade-offs among PMUTs and CMUTs are discussed, and their relevance in the current landscape of medical diagnostics and therapeutic uses is outlined, thus providing a clear overview of these promising technologies for the present and the next generation biomedical ultrasound applications.…”
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Modeling the Impact of Meniscal Tears on von Mises Stress of Knee Cartilage Tissue by Oleg Ardatov, Viktorija Aleksiuk, Algirdas Maknickas, Rimantas Stonkus, Ilona Uzieliene, Raminta Vaiciuleviciute, Jolita Pachaleva, Giedrius Kvederas, Eiva Bernotiene

“…The methodology and results of the study can assist in medical diagnostics for meniscus treatment and replacement.…”
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SteadEye-Head—Improving MARG-Sensor Based Head Orientation Measurements Through Eye Tracking Data by Lukas Wöhle, Marion Gebhard

“…The approach presented here can be deployed in any motion measurement that includes MARG and eye tracking sensors (e.g., rehabilitation robotics or medical diagnostics). The challenge in these mostly indoor applications is the presence of magnetic field disturbances at the location of the MARG-sensor. …”
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COVID-19 Patterns Identification using Generative Adversarial Networks Based Implementation by Jamal Kh-Madhloom, Maryam Jawad Kadhim, Hussein Najm Abd Ali

“… Abstract: Predictive analytics and medical diagnostics are two of the most important fields of study that have a lot of room for growth. …”
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Ultralow threshold surface emitting ultraviolet lasers with semiconductor nanowires by Mohammad Fazel Vafadar, Songrui Zhao

“…Expanding the operation wavelength of SE semiconductor lasers to shorter ultraviolet (UV) wavelength range further broadens the applications to disinfection, medical diagnostics, phototherapy, and so on. Nonetheless, realizing SE lasers in the UV range has remained to be a challenge. …”
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Research on SSVEP‐EEG feature enhancement algorithm based on fractional differentiation by Zenghui Li, Wei Wang, Saijie Yuan, Junpeng Pei, Qianqian Yang, Yousong Wang

“…Abstract Steady‐state visual evoked potentials (SSVEP), significant in brain‐computer interfaces (BCI) and medical diagnostics, benefit from enhanced signal processing for improved analysis and interpretation. …”
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Neurotransmitter Assay for In Vivo Nerve Signal Detection Using Bismuth Immobilized on a Carbon Nanotube Paste Electrode by Jongwan Choi, Jiwon Min, Jason Sahngwook Kim, Jung Hyun Park, SuwYoung Ly

“…These results have potential for applications in medical diagnostics, pharmaceuticals, interface controllers, and other fields.…”
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Upconverting Near‐Infrared Light Detection in Lead Halide Perovskite with Core–Shell Lanthanide Nanoparticles by Ayumi Ishii, Tsutomu Miyasaka

“…Light detection in the near‐infrared (NIR) region is necessary in a wide range of optical applications, such as optical communication, medical diagnostics, and environmental analysis. Herein, a novel NIR detection method based on energy conversion by upconversion (UC) materials is demonstrated. …”
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How Surface-Enhanced Raman Spectroscopy Could Contribute to Medical Diagnoses by Aleksandra Szaniawska, Kinga Mazur, Dominika Kwarta, Edyta Pyrak, Andrzej Kudelski

“…In this article we review some recent, and in our opinion, most interesting and promising applications of SERS spectroscopy in medical diagnostics, including those that permit multiplexing within the range important for clinical samples. …”
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Graphene Field-Effect Transistors with Surface-Charge Modulation for C-Reactive Protein Detection in Artificial Saliva by Shota USHIBA, Tomomi NAKANO, Yuka TOKUDA, Yohei WATANABE, Takao ONO, Shinsuke TANI, Masahiko KIMURA, Kazuhiko MATSUMOTO

“…Saliva-based biosensors are emerging as viable tools for non-invasive, painless, and easily administered household medical diagnostics. Despite their potential, the complexity of saliva, containing various non-target molecules and contaminants, presents significant challenges due to nonspecific interactions with biosensors. …”
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Breast Cancer Detection—A Synopsis of Conventional Modalities and the Potential Role of Microwave Imaging by Brian M. Moloney, Declan O’Loughlin, Sami Abd Elwahab, Michael J. Kerin

“…The application of microwave technologies in medical diagnostics is an emerging field of research, with breast cancer detection seeing the most significant progress in the last twenty years. …”
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Controlling the Nucleation and Growth of Salt from Bodily Fluid for Enhanced Biosensing Applications by Siddharth Srivastava, Yusuke Terai, Jun Liu, Giovanni Capellini, Ya-Hong Xie

“…Surface-enhanced Raman spectroscopy (SERS) represents a transformative tool in medical diagnostics, particularly for the early detection of key biomarkers such as small extracellular vesicles (sEVs). …”
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A Dual-Core Surface Plasmon Resonance-Based Photonic Crystal Fiber Sensor for Simultaneously Measuring the Refractive Index and Temperature by Wangyoyo Li, Yu Chen, Jianjie Xu, Menglin Jiang, Hui Zou

“…Moreover, benefiting from realization of different wavelength regions in RI and temperature sensing, it is believed that the proposed biosensor structure for the measurement of the RI and temperature will have range applications in the fields of medical diagnostics and environmental assessments.…”
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Artificial Intelligence in Nutrients Science Research: A Review by Jarosław Sak, Magdalena Suchodolska

“…The possibilities of artificial intelligence in the field of medical diagnostics, risk prediction and support of therapeutic techniques are growing rapidly. …”
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