Results 211 to 220 of about 349,619 (290)

Preparation of a chronic complete atrioventricular block rat model using myocardial surface radiofrequency ablation. [PDF]

Front Pharmacol
Wang Y, Xu S, Wang J, Zhao L, Zhang J.
europepmc   +1 more source

How to Optimize Healthy Volunteer Screening and Enrolment in Clinical Trials: A Qualitative and Quantitative Approach to Evaluate Processes and Healthy Volunteers' Perceptions

Clinical Pharmacology &Therapeutics, EarlyView.
Healthy volunteers (HVs) are essential for phase I trials, yet their recruitment and screening remain resource‐intensive and ethically complex. High screening failure (SF) rates highlight the need to evaluate and understand all aspects of the enrolment processes. We analyzed SF patterns in a large German HV cohort and explored participants' motivations,
Evelyn Krohmer, Manuela König, Cathrin J. Vogt, Marina Streckebein, Sybille Baumann, Max Blumenstock, Ruwen Böhm, Fabian Müller, Nadja Struß, Viktoria S. Wurmbach, Antje Blank   +10 more
wiley   +1 more source

AI-Assisted Multilabel Diagnosis of 12-Lead Electrocardiograms Using an Interpretable Stacked Deep Learning Model with External Validation. [PDF]

Diagnostics (Basel)
Tassaddiq A, Albarakati A, Alharbi R, Cattani C, Almutairi DK, Kasmani RM.   +5 more
europepmc   +1 more source

Phase I Evaluation of Siltartoxatug, a First‐in‐Class Anti‐Tetanus Monoclonal Antibody: Safety, Pharmacokinetics and Pharmacodynamics in Healthy Australian and Chinese Populations

Clinical Pharmacology &Therapeutics, EarlyView.
Siltartoxatug, a first‐in‐class monoclonal antibody targeting tetanus toxin for post‐exposure prophylaxis, was evaluated in two phase I trials in Australian and Chinese healthy adults. In these randomized, double‐blind, placebo‐controlled, dose‐escalation studies, participants received a single intramuscular injection of siltartoxatug (10–250 μg/kg) or
Xinyu Liu, Zhigang Liu, Xiaohu Kuang, Yueming Wang, Xiaoyi Liu, Jiyuan Ding, Xia Zhou, Xin Zhou, Qianyu Liang, Meizhuo Zhang, Hao Zhao, Qingqing Tan, Weihong Zheng, Huaxin Liao, Charlotte Lemech, Wanmei Wang   +15 more
wiley   +1 more source

Leveraging ECG foundation models in critical care for sinus rhythm and atrial fibrillation classification. [PDF]

Intensive Care Med Exp
Galanty M, Hulleman M, Reuland MC, Ster BV, Vlaar APJ, Sánchez CI, AF Expert Panel.   +6 more
europepmc   +1 more source

On the Design of a Class of Analog Filters Whose Impulse Response Is a Mittag‐Leffler Function

International Journal of Circuit Theory and Applications, EarlyView.
Fractional‐order filters whose impulse response is a Mittag‐Leffler (M‐L) function in any of its known forms are summarized in this work. Simulation results using Cadence and experimental results using an FPAA validate the introduced concept. ABSTRACT Fractional‐order filters whose impulse response is a Mittag‐Leffler (M‐L) function in any of its known
Julia Nako, Costas Psychalinos, Ahmed S. Elwakil, Brent J. Maundy   +3 more
wiley   +1 more source

An Ultra‐Low‐Power Biopotential Acquisition Analog Front‐End Chip for Wearable Devices

International Journal of Circuit Theory and Applications, EarlyView.
A 0.8‐V, 1.2‐μW biopotential AFE combines a chopper‐stabilized CCIA with dual‐time‐scale EDO management. The slow DSL preserves > 1 GΩ input impedance, whereas an event‐triggered fast‐recovery path shortens return to the linear range after abrupt electrode‐offset disturbances. ABSTRACT A 0.8‐V, 1.2‐μW biopotential analog front‐end (AFE) IC is presented
Zhang Xin, Yang Tianqi, Xu Wei, Wang Shun, Xiaoxi Ma   +4 more
wiley   +1 more source

Reply: Beyond the ECG: Toward Patient-Centered Digital Triage for Acute Coronary Syndromes. [PDF]

JACC Adv
Shvilkin A.
europepmc   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source