The combination of 2D materials and optical biosensors has become a hot research topic in
recent years. Graphene, transition metal dichalcogenides, black phosphorus, MXenes, and …

Over the past decade, the wide-scale adoption of artificial intelligence (AI) and machine
learning (ML) has transformed the landscape of scientific research and development, which …

Abstract Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related
deaths in women. Despite several limitations, histopathological information about the …

In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

Abstract Machine learning is able to leverage large amounts of data to infer complex
patterns that are otherwise beyond the capabilities of rule-based systems and human …

Circulating tumor cells (CTCs) are released from primary tumors and transported through the
body via blood or lymphatic vessels before settling to form micrometastases under suitable …

Cancer metastasis counts for 90% of cancer fatalities, and its development process is still a
mystery. The dynamic process of tumor metastatic transport in the blood vessel is not well …

Circulating tumor cells (CTCs) play a causal role in the development of metastasis, the major
cause of cancer-associated mortality worldwide. In the past decade, the development of …

Identification and enumeration of circulating tumor cells (CTCs) in peripheral blood are
proved to correlate with the progress of metastatic cancer and can provide valuable …

Single-cell-resolved systems biology methods, including omics-and imaging-based
measurement modalities, generate a wealth of high-dimensional data characterizing the …