Biology-Informed Recurrent Neural Network for Pandemic Prediction Using Multimodal Data by Zhiwei Ding, Feng Sha, Yi Zhang, Zhouwang Yang

“…In the biomedical field, the time interval from infection to medical diagnosis is a random variable that obeys the log-normal distribution in general. …”
Get full text

Review on Medical Image Segmentation and Feature Extraction Approaches by Muhammad Munawar Ahmed, Aqib Ali, Baqir Nadeem Hashmi, Wali Khan Mashwani, Necla Gündüz

“…During the operation, the medical diagnosis is examined, an analysis of the disease is performed, and image data sets that are considered normal and abnormal are created. …”
Get full text

A Novel Detection Method of Human Serum Albumin Based on the Poly(Thymine)-Templated Copper Nanoparticles by Mingjian Chen, Xinying Xiang, Kefeng Wu, Hailun He, Hanchun Chen, Changbei Ma

“…Thus, this method has potential applications in point-of-care medical diagnosis and biomedical research.…”
Get full text

Graft-derived cell-free DNA as a rejection biomarker and a monitoring tool for immunosuppression in liver transplantation by V U Lakshmi, Dinesh Balakrishnan, Manzoor Koyakutty, M P Narmadha

“…Circulating free DNA, or cell-free DNA, is a pioneering biomarker with various potentials in medical diagnosis, including the early detection of prenatal birth defects in pregnancy, cancer, and its recurrence, and allograft dysfunction in various types of transplantation. …”
Get full text

Research Advances on Fiber-Optic SPR Sensors with Temperature Self-Compensation by Hongxia Zhao, Feng Wang, Zhaojia Han, Peihong Cheng, Zhiqun Ding

“…The fiber-optic surface plasmon resonance sensor has very promising applications in environmental monitoring, biochemical sensing, and medical diagnosis, due to the superiority of high sensitivity and novel label-free microstructure. …”
Get full text

Accurate Spirometry with Integrated Barometric Sensors in Face-Worn Garments by Bo Zhou, Alejandro Baucells Costa, Paul Lukowicz

“…Cardiorespiratory (CR) signals are crucial vital signs for fitness condition tracking, medical diagnosis, and athlete performance evaluation. …”
Get full text

Intelligent Ultrasonic Diagnosis and Clinical Application: Technical Development and Prospectives by Rendong Chen, PhD, Xiaoqian Wang, BS, Ping Liang, MD, Xiaoping Ouyang, PhD, Dexing Kong, PhD

“…It has gained significant attention in recent years due to its potential to improve the accuracy and efficiency of medical diagnosis. The core elements of ultrasound artificial intelligence are the construction of data and algorithm models. …”
Get full text

Is negative affect associated with deficits in financial capacity in nondepressed older adults? A preliminary study by Vaitsa Giannouli, Magda Tsolaki

“…Methods: 134 elders without a past or current formal medical diagnosis underwent a detailed neuropsychological assessment, including Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS-15), Positive Affect and Negative Affect Schedule (PANAS), and Legal Capacity for Property Law Transactions Assessment Scale (LCPLTAS). …”
Get full text

Automation of reversible steganographic coding with nonlinear discrete optimisation by Ching-Chun Chang

“…Nevertheless, despite being generally imperceptible to human sensory systems, any degree of steganographic distortion might be inadmissible in fidelity-sensitive situations such as forensic science, legal proceedings, medical diagnosis and military reconnaissance. This has led to the development of reversible steganography. …”
Get full text

Unravelling the Mystery inside Cells by Using Single-Molecule Fluorescence Imaging by Julian Zalejski, Jiachen Sun, Ashutosh Sharma

“…We later discuss how single-molecule tracking can be a beneficial tool used for medical diagnosis. Finally, we wrap up with the limitations and future perspectives of single-molecule tracking and total internal reflection microscopy.…”
Get full text

A comprehensive survey of imbalanced learning methods for bankruptcy prediction by Tuong Le

“…The class imbalance problem arises in various areas such as medical diagnosis, spam filtering, and fraud detection. …”
Get full text

Semantic Segmentation of Conjunctiva Region for Non-Invasive Anemia Detection Applications by Sivachandar Kasiviswanathan, Thulasi Bai Vijayan, Lorenzo Simone, Giovanni Dimauro

“…Technology is changing the future of healthcare, technology-supported non-invasive medical procedures are more preferable in the medical diagnosis. Anemia is one of the widespread diseases affecting the wellbeing of individuals around the world especially childbearing age women and children and addressing this issue with the advanced technology will reduce the prevalence in large numbers. …”
Get full text

Enhanced SVM Based Covid 19 Detection System Using Efficient Transfer Learning Algorithms by Abdelhai LATI, Khaled BENSID, Ibtissem LATI, Chahra GEZZAL

“… The detection of the novel coronavirus disease (COVID-19) has recently become a critical task for medical diagnosis. Knowing that deep Learning is an advanced area of machine learning that has gained much of interest, especially convolutional neural network. …”
Get full text

Towards interpretable machine learning models for diagnosis aid: A case study on attention deficit/hyperactivity disorder. by Sarah Itani, Mandy Rossignol, Fabian Lecron, Philippe Fortemps

“…Such an approach is intended to achieve a fair trade-off between the needs of performance and interpretability expected from medical diagnosis aid systems. We applied our methodology on a data sample extracted from the ADHD-200 collection, through the development of decision trees which are valued for their readability. …”
Get full text

High-Performance Near-Infrared Photodetector Based on PbS Colloidal Quantum Dots/ZnO-Nanowires Hybrid Nanostructures by Hefu Zhong, Libin Tang, Pin Tian, Lijing Yu, Wenbin Zuo, Kar Seng Teng

“…The excellent performances and low cost of this nanocomposite-based photodetector show that it has the potential for widespread applications ranging from medical diagnosis to environmental monitoring.…”
Get full text

Immunofluorescence diagnosis of the herpesvirus stillborn infection by B. I. Glukhovets, N. G. Glukhovets, N. V. Belitchenko, O. A. Sosunova

“…Determination of the value of the fluorescent antibody technique in the diagnosis of congenital herpes infection of the stillborn is a promising approach to medical diagnosis. subjects and methods. In 96 cases of stillbirth immunofluorescent identification of herpes simplex virus types 1 and 2 and cytomegalovirus in the placenta and internal organs (brain, heart, lungs, and liver) was implemented. …”
Get full text

Designing Digital Therapeutic Content Using Chronic Disease Data: A Focus on Improving Urinary Dysfunction by Jungjo Na, Su Jin Kim, Yangmi Lim

“…In recent years, advancements in information and communication technologies, including artificial intelligence, big data, virtual reality, and augmented reality, have driven substantial growth in the field of digital medical diagnosis and treatment, thereby enhancing quality of life. …”
Get full text

A New, Adaptable, Optical High-Resolution 3-Axis Sensor by Niels Buchhold, Christian Baumgartner

“…This article presents a new optical, multi-functional, high-resolution 3-axis sensor which serves to navigate and can, for example, replace standard joysticks in medical devices such as electric wheelchairs, surgical robots or medical diagnosis devices. A light source, e.g., a laser diode, is affixed to a movable axis and projects a random geometric shape on an image sensor (CMOS or CCD). …”
Get full text

Deep Learning for Medical Image Cryptography: A Comprehensive Review by Kusum Lata, Linga Reddy Cenkeramaddi

“…Various imaging modalities, including PET, MRI, ultrasonography, CT, and X-ray imaging, play vital roles in medical diagnosis, allowing healthcare professionals to visualize and assess the internal structures, functions, and abnormalities within the human body. …”
Get full text

Breast Cancer Estimate Modeling via PDE Thermal Analysis Algorithms by Young Hoon Park, Sung Mo Yang

“…Herein, we studied the medical diagnosis of breast cancer by creating a theoretical environment that simulated breast cancer in a real-world setting; the model used two-dimensional modeling and partial differential equation (PDE) thermal analysis. …”
Get full text