With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …

Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Over the past decade, artificial intelligence (AI) has contributed substantially to the resolution
of various medical problems, including cancer. Deep learning (DL), a subfield of AI, is …

Patients with colorectal cancer (CRC) and diffuse peritoneal metastasis (PM) are not eligible
for surgical intervention. Thus, palliative treatment remains the standard of care in clinical …

Modern omics technologies can generate massive amounts of biomedical data, providing
unprecedented opportunities for individualized precision medicine. However, traditional …

The most efficient way to treat tumors is through surgery. However, many cancer patients
have a poor prognosis even when they undergo radical excision at an early stage …

Background and purpose As one common feature of cerebral small vascular disease
(cSVD), white matter lesions (WMLs) could lead to reduction in brain function. Using a …

Artificial intelligence (AI) has the potential to revolutionize surgery in the coming years. Still,
it is essential to clarify what the meaningful current applications are and what can be …

针对侧向激光雷达应用于气溶胶探测领域时, 雷达回波信号易受噪声影响这一问题,
本文提出了一种基于神经网络的激光雷达信号去噪算法. 该算法在卷积神经网络基础上融合残差 …

Abstract Machine learning (ML) is a collection of algorithms allowing computers to learn
directly from data without predetermined equations. It is used widely to analyze “big data”. In …