Detection of cardiac amyloidosis using machine learning on routine echocardiographic measurements by I-Min Chiu, David Ouyang, James Zou, Rachel Si-Wen Chang, Phillip Tacon, Michael Abiragi, Louie Cao, Gloria Hong, Jonathan Le, Chathuri Daluwatte, Piero Ricchiuto

“…Background Cardiac amyloidosis (CA) is an underdiagnosed, progressive and lethal disease. Machine learning applied to common measurements derived from routine echocardiogram studies can inform suspicion of CA.Objectives Our objectives were to test a random forest (RF) model in detecting CA.Methods We used 3603 echocardiogram studies from 636 patients at Cedars-Sinai Medical Center to train an RF model to predict CA from echocardiographic parameters. 231 patients with CA were compared with 405 control patients with negative pyrophosphate scans or clinical diagnosis of hypertrophic cardiomyopathy. 19 common echocardiographic measurements from echocardiogram reports were used as input into the RF model. …”
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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…The study recommends integrating a machine learning model into healthcare systems to detect STIs early, improve medical care, reduce disease progression, and remove stigmatisation barriers. …”
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Detection of viral contamination in cell lines using ViralCellDetector by Rama Shankar, Shreya Paithankar, Suchir Gupta, Bin Chen, Bin Chen, Bin Chen

“…Background and aimsCell lines are widely used in biomedical research to investigate various biological processes, including gene expression, cancer progression, and drug responses. However, cross-contamination with bacteria, mycoplasma, and viruses remains a persistent challenge. …”
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Early detection of Parkinson's disease: Retinal functional impairments as potential biomarkers by Victoria Soto Linan, Véronique Rioux, Modesto Peralta, III, Nicolas Dupré, Marc Hébert, Martin Lévesque

“…Conclusions: Findings from both mice and human cohorts indicate that retinal functional impairments can be detected early in the progression of Parkinson's disease, particularly among females. …”
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Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia by Yufei Wu, Yufei Wu, Jiahui Jiang, Xiaoyu Deng, Xixi Zhang, Jinger Lu, Zian Xu, Yitian Zhao, Zai-Long Chi, Zai-Long Chi, Qinkang Lu, Qinkang Lu

“…The AI-driven analysis revealed that decreased CVI and CT were significantly associated with age and spherical equivalent (SE), highlighting the utility of automated algorithms in identifying early microvascular impairments.ConclusionDiabetic patients with high myopia exhibited significantly lower CVI compared to those with diabetic retinopathy, indicating that CVI monitoring could facilitate risk stratification of diabetic retinopathy progression. The integration of SS-OCTA with artificial intelligence-enhanced segmentation and vascular analysis provides a refined method for early detection of retinal and choroidal microvascular impairments in diabetic populations.…”
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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

“…Remote sensing data offer the potential to detect the presence of disease, but formal analysis is needed to compare inferred disease data with observed disease data. …”
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Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease by Navita, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Kashif Saleem, Ehab Seif Ghith

“…Prevention and early diagnosis are the only ways to control its progression and onset. Thus, there is an urgent need for a detection model comprising intelligent technologies, including Machine Learning (ML) and deep learning, to predict the future state of an individual suffering from cardiovascular disease by effectively analyzing patient data. …”
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Dual-Emitting Molecularly Imprinted Nanopolymers for the Detection of CA19-9 by Eduarda Rodrigues, Ana Xu, Rafael C. Castro, David S. M. Ribeiro, João L. M. Santos, Ana Margarida L. Piloto

“…<b>Background/Objectives:</b> Carbohydrate antigen 19-9 (CA19-9) is a clinically established biomarker primarily used for monitoring disease progression and recurrence in pancreatic and gastrointestinal cancers. …”
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Current- and Vibration-Based Detection of Misalignment Faults in Synchronous Reluctance Motors by Angela Navarro-Navarro, Vicente Biot-Monterde, Jose E. Ruiz-Sarrio, Jose A. Antonino-Daviu

“…Alternatively, motor current signature analysis (MCSA) has proven effective in detecting faults without requiring additional sensors. …”
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Challenges and advances for huntingtin detection in cerebrospinal fluid: in support of relative quantification by Rachel J. Harding, Yuanyun Xie, Nicholas S. Caron, Hailey Findlay-Black, Caroline Lyu, Nalini Potluri, Renu Chandrasekaran, Michael R. Hayden, Blair R. Leavitt, Douglas R. Langbehn, Amber L. Southwell

“…Abstract Huntington disease (HD) is a progressive and devastating neurodegenerative disease caused by expansion of a glutamine-coding CAG tract in the huntingtin (HTT) gene above a critical threshold of ~ 35 repeats resulting in expression of mutant HTT (mHTT). …”
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FoT: an efficient transformer framework for real-time small object detection in football videos by Wentao Zhang, Yaocong Yang

“…MFIM strengthens the collaborative expression of low-level details and high-level semantics through multi-scale feature alignment and progressive fusion, effectively integrating low-level details and high-level semantics, significantly improving small object detection performance. …”
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Research Progress on Magnetic Solid Phase Extraction Based on Fe3O4 Magnetic Nanomaterials in Food Analysis by MA Yining, ZHAO Lingyu, HE Li, JIE Qiang, SUN Xiaoyu, WANG Fanglin

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Improving crop condition monitoring using phenologically aligned vegetation index anomalies – A case study in central Iowa by Haoteng Zhao, Feng Gao, Martha Anderson, Richard Cirone, Geba Jisung Chang

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Mild hemolytic anemia, progressive neuromotor retardation and fatal outcome: a disorder of glycolysis, triose- phosphate isomerase deficiency by Nazan Sarper, Emine Zengin, Cornelis Jakobs, Gajja S Salomons, Mirjam Mc Wamelink, Markus Ralser, Koray Kurt, Bülent Kara

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Progressive loss of upper limb function as a presenting feature of glenohumoral metastasis from a primary tongue malignancy by Adarsh Kudva, Vasantha Dhara, Asmita Unadkat

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M6A RNA modification: focusing on non-small cell lung cancer progression, therapeutic strategies and challenges by Yuyang Yan, Jiarui Yin, Quan Ding, Yan Lu, Shuhua Gou, Xi Xu, Yulin Li

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Human papillomavirus infection-associated markers of the occurrence and progression of cervical intraepithelial neoplasias: from research developments to clinical practice by L. I. Korolenkova

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急性卒中院前诊断识别研究进展(Research Progress in Prehospital Diagnosis and Identification of Acute Stroke) by 王荣，何松，岗瑞娟，王琪，唐宇杰，刘飞凤，杨杰，李刚，林亚鹏(WANG Rong, HE Song, GANG Ruijuan, WANG Qi, TANG Yujie, LIU Feifeng, YANG Jie, LI Gang, LIN Yapeng)

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Block-PSPGOF: high-quality mesh reconstruction of large scenes based on progressive self-planarized Gaussian opacity fields by Yi Chen, Jing Chen

“…In the reconstruction of each block, a novel progressive self-planarized method is proposed, which simultaneously leverages the advantages of 3D Gaussian representations for complex features and planarized Gaussian representations for mesh. …”
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Current challenges and progress in global management, research, science and policy: Eleventh International Conference on Marine Bioinvasions (ICMB-XI) by Amy E. Fowler, Alejandro Bortolus, João Canning-Clode, Tamara B. Robinson, Thomas W. Therriault

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