Drug discovery and development is time-intensive, expensive and laden with risk. Identifying the right drug targets is crucial for increasing the probability of success, but traditional target identification and validation often take years, and a tar... read more
In this study, we present the integration of tracker expertise with artificial intelligence (AI) for wildlife species classification and its application to human-in-the-loop with an investigation in explainable AI. We collected images of wildlife tra... read more
Minimally invasive surgery (MIS) increasingly benefits from soft robotic platforms that offer enhanced compliance and safer human-robot interaction. However, one of the most important challenges of design is still to achieve larger bending at low act... read more
We present a universal modular deep-learning framework and demonstrate its application to low-latency, streaming-compatible heart rate variability (HRV) analysis using RMSSD as an exemplar metric. A convolutional autoencoder is first pretrained and t... read more
Earthquakes are natural calamities that are destructive and result in the loss of lives and economic losses globally. It is vital to identify earthquakes at an early stage to reduce the damage caused to the environment and infrastructure. But, tradit... read more
Quantifying the distribution of Spanish moss (Tillandsia usneoides L.) is challenging because it grows suspended from high tree branches, limiting manual sampling. Terrestrial laser scanning (TLS) provides a non-destructive means of capturing vegetat... read more
OBJECTIVES: To investigate whether coronary CT angiography (CCTA) misses calcified plaques detected by thin-slice non-contrast CT (NCCT). MATERIALS AND METHODS: This study included patients from two sites in the DISCHARGE trial for whom both 0.5 mm t... read more
OBJECTIVES: To compare conventional speech recognition (CSR) and a general-purpose large language model (LLM) in radiology reports, focusing on generation times and errors. MATERIALS AND METHODS: In this prospective, multicenter study, five radiologi... read more
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