Latest AI and machine learning research in prescriptions for healthcare professionals.
In advanced Parkinson's disease (PD), considerable number of patients receive deep brain stimulation (DBS) surgery, to alleviate symptoms not readily controlled by medication. However, the differential effects of medication and DBS on improving motor symptoms, especially for DBS targeting the globus pallidus internus (GPi), have not been explored in sufficient detail. We studied the finger tapping...
Bacterial small RNAs (sRNAs) are pivotal in post-transcriptional regulation, affecting functions like virulence, metabolism, and gene expression by binding specific mRNA targets. Identifying these targets is crucial to understanding sRNA regulation across species. Despite advancements in high-throughput (HT) experimental methods, they remain technically challenging and are limited to detecting sRN...
This study investigates the interaction between personality traits and emotional expression, exploring how personality information can improve speec...
Vectorized HD map is essential for autonomous driving. Remarkable work has been achieved in recent years, but there are still major issues: (1) in t...
Natural medicines, particularly Traditional Chinese Medicine (TCM), are gaining global recognition for their therapeutic potential in addressing hum...
Knowledge distillation (KD) is a core component in the training and deployment of modern generative models, particularly large language models (LLMs...
Medication recommendations have become an important task in the healthcare domain, especially in measuring the accuracy and safety of medical dialog...
Antibody-drug conjugates (ADCs) are promising cancer therapeutics, but optimizing their cytotoxic payloads remains challenging. We present DumplingGNN...
Out-of-domain (OOD) robustness under domain adaptation settings, where labeled source data and unlabeled target data come from different distributio...
For the elderly population, falls pose a serious and increasing risk of serious injury and loss of independence. In order to overcome this difficult...
Ground texture localization using a downward-facing camera offers a low-cost, high-precision localization solution that is robust to dynamic environ...
Real-world problems are often dependent on multiple data modalities, making multimodal fusion essential for leveraging diverse information sources. ...
The intrinsic complexity of human biology presents ongoing challenges to scientific understanding. Researchers collaborate across disciplines to exp...
Sentiment analysis of content is highly essential for myriad natural language processing tasks. Particularly, as the movies are often created on the b...
This paper introduces NeoLightning, a modern reinterpretation of the Buchla Lightning. NeoLightning preserves the innovative spirit of Don Buchla's ...
Designing and evaluating personalized and proactive assistant agents remains challenging due to the time, cost, and ethical concerns associated with...
Clinical decision support systems (CDSSs) are designed to enhance patient safety by providing alerts to prescribers about potential medication issues....
Patients admitted to the intensive care unit (ICU) are often treated with multiple high-risk medications. Over- and underprescribing of indicated medi...
Advances in artificial intelligence (AI) and intelligent computing have significantly accelerated drug discovery by enabling accurate modeling of comp...
The high cost of manual data labeling and privacy concerns result in a considerable dearth of medical annotations in non-English texts. Recent work by...