Relationships Between Oat Phenotypes and UAV Multispectral Imagery Under Different Water Deficit Conditions by Structural Equation Modelling by Yayang Feng, Guoshuai Wang, Jun Wang, Hexiang Zheng, Xiangyang Miao, Xiulu Sun, Peng Li, Yan Li, Yanhui Jia

“…Nonlinear machine learning algorithms (RF and ANN) significantly outperform conventional linear regression in estimating SWC from spectral vegetation indices.…”
Get full text

Hybrid closed-loop systems for managing blood glucose levels in type 1 diabetes: a systematic review and economic modelling by Asra Asgharzadeh, Mubarak Patel, Martin Connock, Sara Damery, Iman Ghosh, Mary Jordan, Karoline Freeman, Anna Brown, Rachel Court, Sharin Baldwin, Fatai Ogunlayi, Chris Stinton, Ewen Cummins, Lena Al-Khudairy

“…The system includes a combination of real-time continuous glucose monitoring from a continuous glucose monitoring device and a control algorithm to direct insulin delivery through an insulin pump. …”
Get full text

A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…It demonstrates that quantum algorithms can perform complex biological data suggesting more reliable and accurate drug sensitivity predictions. …”
Get full text

Replace government healthcare with patient-controlled health care by Deane Waldman

“…The author also discusses the problem of limiting access to medical care (rationing) for patients with public health insurance due to a shortage of healthcare professionals accepting new Medicaid patients. This is caused by low reimbursement rates, overly bureaucratic verification procedures for obtaining payment, overregulation of requirements for doctor-patient relations and procedures for reviewing medical errors, the need to comply with population-based clinical algorithms, etc. …”
Get full text

State preparation by shallow circuits using feed forward by Harry Buhrman, Marten Folkertsma, Bruno Loff, Niels M. P. Neumann

“…This model fits naturally between quantum algorithms in the NISQ era and full-fledged fault-tolerant quantum computation. …”
Get full text

Transthyretin amyloid cardiomyopathy: Literature review and red‐flag symptom clusters for each cardiology specialty by Yasuhiro Izumiya, Toru Kubo, Jin Endo, Seiji Takashio, Masatoshi Minamisawa, Jun Hamada, Tomonori Ishii, Hajime Abe, Hiroaki Konishi, Kenichi Tsujita

“…However, no established algorithms are available regarding HF management in this patient population. …”
Get full text

Tensor RT optimized driver drowsiness detection system using edge device by Chandramohan Dhasarathan, Sambasivam Gnanasekaran, Arnab Pattanayak, Gourav Kumar, Kartik Vig, Vaibhav Narain, K.M. Deva Narayan, Sunidhi Garg

“…The system uses transfer learning techniques for implementing CNN model algorithms to analyze live video from the camera module, allowing for real-time detection of driver behavior such as fatigue or distraction. …”
Get full text

Automated Foveal Avascular Zone Segmentation in Optical Coherence Tomography Angiography Across Multiple Eye Diseases Using Knowledge Distillation by Peter Racioppo, Aya Alhasany, Nhuan Vu Pham, Ziyuan Wang, Giulia Corradetti, Gary Mikaelian, Yannis M. Paulus, SriniVas R. Sadda, Zhihong Hu

“…Typically, segmentation algorithms make use of convolutional neural networks and, more recently, vision transformers, which make use of both long-range context and fine-grained detail. …”
Get full text

Simultaneous non-contrast assessment of cardiac microstructure and perfusion in vivo in the human heart by Camila Munoz, Eunji Lim, Pedro F. Ferreira, Dudley J. Pennell, Sonia Nielles-Vallespin, Andrew D. Scott

“…A simulation study was performed to investigate the optimal fitting algorithms for the IVIM parameters, which was subsequently used to create pixel-wise IVIM parameter maps for the in vivo acquisitions. …”
Get full text

Development of a Force Feedback Controller with a Speed Feedforward Compensator for a Cable-Driven Actuator by Juan Fang, Michael Haldimann, Bardia Amiryavari, Robert Riener

“…Cable-driven actuators (CDAs) are extensively used in the rehabilitation field because of advantages such as low moment of inertia, fast movement response, and intrinsic flexibility. …”
Get full text

Viral replication modulated by hallmark conformational ensembles: how AlphaFold-predicted features of RdRp folding dynamics combined with intrinsic disorder-mediated function enabl... by Rachid Tahzima, Rachid Tahzima, Rachid Tahzima, Rachid Tahzima, Justine Charon, Adrian Diaz, Kris De Jonghe, Sebastien Massart, Thierry Michon, Wim Vranken, Wim Vranken, Wim Vranken, Wim Vranken

“…In this review, we highlight how biophysics-inspired prediction tools combined with advanced deep learning algorithms, such as AlphaFold2 (AF2), can help efficiently infer the conformational heterogeneity and dynamics of RdRps. …”
Get full text

Comparative assessment of line probe assays and targeted next-generation sequencing in drug-resistant tuberculosis diagnosisResearch in context by Giovanna Carpi, Marva Seifert, Andres De la Rossa, Swapna Uplekar, Camilla Rodrigues, Nestani Tukvadze, Shaheed V. Omar, Anita Suresh, Timothy C. Rodwell, Rebecca E. Colman

“…Complete assay failure rates were low for LPAs (4.9%) and ONT (5.0%) and moderately higher for GenoScreen (8.6%), with differences in single-target failures across all assays. …”
Get full text

Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis by Jonathan Hourmozdi, MD, MSAI, MA, Nicholas Easton, MSAI, Simon Benigeri, MSAI, James D. Thomas, MD, Akhil Narang, MD, David Ouyang, MD, Grant Duffy, BS, Ross Upton, PhD, Will Hawkes, PhD, Ashley Akerman, PhD, Ike Okwuosa, MD, Adrienne Kline, MD, PhD, Abel N. Kho, MD, Yuan Luo, PhD, Sanjiv J. Shah, MD, Faraz S. Ahmad, MD, MS

“…Screening for ATTR-CM with artificial intelligence and other algorithms may improve timely diagnosis, but these algorithms have not been directly compared. …”
Get full text

Course and Outcomes of Acute Coronary Syndrome in the Presence of New Coronavirus Infection COVID-19 by L. S. Kokov, S. S. Petrikov, M. M. Pisankina, E. A. Dashevsky, K. A. Popugayev, M. V. Parkhomenko, I. M. Kuzmina, I. S. Babayan, K. I. Vorontsova, L. T. Khamidova, E. V. Klychnikova, S. P. Goncharov, A. A. Spassky, A. I. Kramarenko

“…A poor prognostic value of low left ventricular ejection fraction in patients with COVID-19 disease has been described.Conclusions The development of acute coronary syndrome in the course of COVID-19 significantly worsens the prognosis of the disease, which requires the development of algorithms for providing medical care to patients in this category, as well as maximum vigilance in their treatment.…”
Get full text

Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…In contrast, nuclear magnetic resonance (NMR) measurements, which provide information on pore body size distribution, are faster and can be leveraged to estimate capillary pressure using machine learning algorithms. Recently, artificial intelligence methods have also been applied to capillary pressure prediction (Qi et al., 2024).Currently, no readily applicable predictive model exists for estimating an entire capillary pressure curve directly from standard petrophysical logs and core data. …”
Get full text

Pharmacological potential of 3,5-dimethyl-4-(3-(5-nitrofuran-2-yl)allylidenamino)-1-alkyl-1,2,4-triazolium bromides by A. S. Hotsulia, O. I. Panasenko, T. S. Brytanova

“…Importantly, biologically active compounds containing triazole have demonstrated relatively low toxicity and minimal risks of mutagenicity. …”
Get full text

Mortality impact, risks, and benefits of general population screening for ovarian cancer: the UKCTOCS randomised controlled trial by Usha Menon, Aleksandra Gentry-Maharaj, Matthew Burnell, Andy Ryan, Jatinderpal K Kalsi, Naveena Singh, Anne Dawnay, Lesley Fallowfield, Alistair J McGuire, Stuart Campbell, Steven J Skates, Mahesh Parmar, Ian J Jacobs

“…Follow-up was through linkage to national registries, postal follow-up questionnaires and direct communication with trial centres and participants. …”
Get full text

Predicting reticuloruminal pH and subacute ruminal acidosis of individual cows using machine learning and Fourier-transform infrared spectroscopy milk analysis by T. Touil, F. Huot, S. Claveau, A. Bunel, D. Warner, D.E. Santschi, R. Gervais, É.R. Paquet

“…ABSTRACT: Low reticuloruminal pH (rpH) for a prolonged period could lead to SARA. …”
Get full text

Features of Lipid Spectrum and Insulin Resistance Parameters in Patients with Type 2 Diabetes Mellitus and Cardiac Autonomic Neuropathy and Appropriateness of Simvastatin and Omega... by Azhmi S., Serhiyenko V.

“…Lipid metabolism was assessed by the concentration of total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), triglycerides (TG) measurements and calculation of the atherogenic coefficient (AC). …”
Get full text

An Efficient Analytical Method for Determining the Effects of Silver Nanoparticles on Vibrio parahaemolyticus in Estuarine Water by Xiangyi HOU, Xiaoyang WANG, Yuanyuan ZHANG, Ruohan LIANG, Feng LU, Qianqian YANG, Xiaodan PU, Yan ZHANG, Keming QU, Xuzhi ZHANG

“…Based on a 32-channel C4 detector and special algorithms, we developed a 32-channel electronic microbial growth analyzer (EMGA). …”
Get full text