Universal representations in cardiovascular ECG assessment: A self-supervised learning approach.

Background: The 12-lead electrocardiogram (ECG) is an established modality for cardiovascular assessment. While deep learning algorithms have shown promising results for analyzing ECG data, the limited availability of labeled datasets hinders broader applications. Self-supervised learning can learn meaningful representations from the unlabeled data and transfer the knowledge to downstream tasks.

Comparing Lenvatinib/Pembrolizumab with Atezolizumab/Bevacizumab in Unresectable Hepatocellular Carcinoma: A Real-World Experience with Propensity Score Matching Analysis.

Background: The combination of anti-angiogenic therapy and immune checkpoint inhibitors has revolutionized the management of unresectable hepatocellular carcinoma (uHCC). While an early-phase study demonstrated promising outcomes for lenvatinib plus pembrolizumab (L+P) in treating uHCC, the LEAP-002 trial did not meet its primary endpoint. However, the comparative efficacy between L+P and atezolizumab plus bevacizumab (A+B) as first-line treatment remains a topic of uncertainty.

Increased prevalence but decreased survival of nonviral hepatocellular carcinoma compared to viral hepatocellular carcinoma in recent ten years.

Due to the comprehensive hepatitis B virus vaccination program in Taiwan since 1986, the development of antiviral therapy for chronic hepatitis B and chronic hepatitis C infection and covered by National health insurance. Besides, the increased prevalence of nonalcoholic fatty liver disease (NAFLD) and currently, approved therapy for NAFLD remain developing. The etiology of liver-related diseases such as cirrhosis and hepatocellular carcinoma required reinterpretation.

Deep learning to predict rapid progression of Alzheimer's disease from pooled clinical trials: A retrospective study.

The rate of progression of Alzheimer's disease (AD) differs dramatically between patients. Identifying the most is critical because when their numbers differ between treated and control groups, it distorts the outcome, making it impossible to tell whether the treatment was beneficial. Much recent effort, then, has gone into identifying RPs.

Locoregional treatment improves overall survival for liver cancer during second-line regorafenib or immune checkpoint inhibitor.

For advanced hepatocellular carcinoma (HCC), the best second-line treatment after first-line treatment with sorafenib is unclear. This study aimed to compared the efficacy of second-line regorafenib (a tyrosine kinase inhibitor) and immune checkpoint inhibitors (ICIs) in patients with advanced HCC after sorafenib therapy. This retrospective study included 89 patients with HCC treated with sorafenib, and then regorafenib (n = 58) or an ICI (n = 31).

Disentangling Accelerated Cognitive Decline from the Normal Aging Process and Unraveling Its Genetic Components: A Neuroimaging-Based Deep Learning Approach.

Background: The progressive cognitive decline, an integral component of Alzheimer's disease (AD), unfolds in tandem with the natural aging process. Neuroimaging features have demonstrated the capacity to distinguish cognitive decline changes stemming from typical brain aging and AD between different chronological points.

Objective: To disentangle the normal aging effect from the AD-related accelerated cognitive decline and unravel its genetic components using a neuroimaging-based deep learning approach.

A combination of locoregional treatment with systemic therapy after atezolizumab plus bevacizumab failure for unresectable hepatocellular carcinoma provides survival benefit.

Atezolizumab plus bevacizumab (A+B) is used to treat unresectable hepatocellular carcinoma (HCC), but the optimal rescue therapy after A+B remains unclear. Combining locoregional therapy (LRT) with systemic treatment has been shown to improve tumor control, but the role in patients who fail A+B is unknown. We retrospectively enrolled patients who experienced radiological progression after A+B.

The Importance of Remodeling the Physiological Mandibular Angle: Mandibular V-Line versus Long Curved Ostectomy.

Background: Numerous surgical options for correcting prominent mandibular angles in East Asian patients have been reported. The objective of this study was to investigate the importance of remodeling physiological mandibular angle by comparing the surgical effects and complications of mandibular V-line ostectomy and long curved ostectomy.

Methods: A retrospective study was conducted on patients who underwent either mandibular V-line ostectomy (group 1) or long curved ostectomy (group 2).

Disentangling accelerated cognitive decline from the normal aging process and unraveling its genetic components: A neuroimaging-based deep learning approach.

Background: The progressive cognitive decline that is an integral component of AD unfolds in tandem with the natural aging process. Neuroimaging features have demonstrated the capacity to distinguish cognitive decline changes stemming from typical brain aging and Alzheimer's disease between different chronological points.

Methods: We developed a deep-learning framework based on dual-loss Siamese ResNet network to extract fine-grained information from the longitudinal structural magnetic resonance imaging (MRI) data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study.

Non-invasive arterial blood pressure measurement and SpO estimation using PPG signal: a deep learning framework.

Background: Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial role in healthcare management for patients with chronic diseases, especially hypertension and vascular disease. However, current blood pressure measurement methods have intrinsic limitations; for instance, arterial blood pressure is measured by inserting a catheter in the artery causing discomfort and infection.

Method: Photoplethysmogram (PPG) signals can be collected via non-invasive devices, and therefore have stimulated researchers' interest in exploring blood pressure estimation using machine learning and PPG signals as a non-invasive alternative.

Ultrasound Imaging and Guidance for Distal Peripheral Nerve Pathologies at the Wrist/Hand.

Ultrasound has emerged as a highly valuable tool in imaging peripheral nerve lesions in the wrist region, particularly for common pathologies such as carpal tunnel and Guyon's canal syndromes. Extensive research has demonstrated nerve swelling proximal to the entrapment site, an unclear border, and flattening as features of nerve entrapments. However, there is a dearth of information regarding small or terminal nerves in the wrist and hand.

Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction.

Background: Left ventricular systolic dysfunction (LVSD) characterized by a reduced left ventricular ejection fraction (LVEF) is associated with adverse patient outcomes. We aimed to build a deep neural network (DNN)-based model using standard 12-lead electrocardiogram (ECG) to screen for LVSD and stratify patient prognosis.

Methods: This retrospective chart review study was conducted using data from consecutive adults who underwent ECG examinations at Chang Gung Memorial Hospital in Taiwan between October 2007 and December 2019.

Enhancing production of herpes simplex virus type 1 in oral epithelial cells by co-infection with Aggregatibacter actinomycetemcomitans.

Background/purpose: The association between herpetic/bacterial co-infection and periodontal diseases has been reported. However, how interactions between herpesviruses and periodontal bacteria dampen periodontal inflammation is still unclear. This study determined effects of co-infection with oral bacteria, including Streptococcus sanguinis, Fusobacterium nucleatum or Aggregatibacter actinomycetemcomitans, in herpes simplex virus type 1 (HSV-1)-infected oral epithelial cells.

The importance of the mortice and tenon joint on the zygomatic arch in reduction malarplasty-a retrospective study.

The aim of this study was to compare two kinds of reduction malarplasty in terms of their bony consolidation. Patients that underwent reduction malarplasty were reviewed retrospectively. The medial movement of the zygomatic body and the zygomatic arch as well as the complications and satisfaction of patients were investigated.

The complete chloroplast genome of (Poaceae: Bambusoideae: Arundinarieae) in Taiwan.

is an endemic species in Taiwan, and grows at an altitude of 600-1200 m. In this study, we fully characterized the complete chloroplast genome of . The complete chloroplast sequence was 139,660 bp, including large single-copy (LSC), small single-copy (SSC), and a pair of invert repeats (IR) region of 83,271, 12,803, and 21,793 bp.

Micro-Elimination of Hepatitis C among Patients with Kidney Disease by Using Electronic Reminder System-A Hospital-Based Experience.

Background: Little is known about the use of an electronic reminder system for HCV screening among patients with kidney disease. In this study, we tried to determine whether reminder systems could improve the HCV screening rate in patients with kidney disease.

Methods: Patients with kidney disease were enrolled from August 2019 to December 2020 to automatically screen and order HCV antibody and RNA testing in outpatient departments.

Real-World Experience of Chronic Hepatitis C-Related Compensated Liver Cirrhosis Treated with Glecaprevir/Pibrentasvir: A Multicenter Retrospective Study.

Background: Glecaprevir/pibrentasvir is a protease inhibitor-containing pangenotypic direct-acting antiviral regimen that has been approved for the treatment of chronic hepatitis C. The present study aimed to evaluate the safety and efficacy of glecaprevir/pibrentasvir in patients with compensated cirrhosis in a real-world setting.

Methods: We evaluated the real-world safety and efficacy of glecaprevir/pibrentasvir in patients with compensated cirrhosis from five hospitals in the Changhua Christian Care System, who underwent treatment between August 2018 and October 2020.

Real-world experience of switching from tenofovir disoproxil fumarate to tenofovir alafenamide in patients with chronic hepatitis B: a retrospective study.

Background: Tenofovir alafenamide (TAF) has good viral suppression efficacy and less adverse effect than tenofovir disoproxil fumarate (TDF). Real-world studies on the antiviral efficacy and safety of switching from TDF to TAF in patients with chronic hepatitis B (CHB) are limited.

Methods: This retrospective study included 167 nucleos(t)ide analogue (NA)-naive patients with CHB.

Comparing the controlled attenuation parameter using FibroScan and attenuation imaging with ultrasound as a novel measurement for liver steatosis.

Background/aims: In a recent study, attenuation imaging (ATI) with ultrasound was used as a new approach for detecting liver steatosis. However, although there are many studies on ATI and controlled attenuation parameter (CAP) that prove their practicability, there are few studies comparing these two methods. As such, this study compared CAP and ATI for the detection and evaluation of liver steatosis.

Assessment of Grain Harvest Moisture Content Using Machine Learning on Smartphone Images for Optimal Harvest Timing.

Grain moisture content (GMC) is a key indicator of the appropriate harvest period of rice. Conventional testing is time-consuming and laborious, thus not to be implemented over vast areas and to enable the estimation of future changes for revealing optimal harvesting. Images of single panicles were shot with smartphones and corrected using a spectral-geometric correction board.

Strategy for the Micro-Elimination of Hepatitis C among Patients with Diabetes Mellitus-A Hospital-Based Experience.

Hepatitis C virus (HCV) infection can induce insulin resistance, and patients with diabetes mellitus (DM) have a higher prevalence of HCV infection. Patient outcomes improve after HCV eradication in DM patients. However, HCV micro-elimination targeting this population has not been approached.