The phrase "advances in the detection" is correct and usable in written English.
It can be used when discussing improvements or progress in methods or technologies related to detecting something, such as diseases, signals, or substances.
Example: "Recent advances in the detection of early-stage cancer have significantly improved patient outcomes."
Alternatives: "progress in detection" or "improvements in detection".
The use of tools capable of detecting and monitoring the biomolecular process can create enormous advances in the detection and treatment of diseases and thereby revolutionize cell biology and medical science [2].
Historians have found that Paracelsus made some advances in the detection of disorders by analyzing urine and claimed marvelous cures through alchemy.
The design for Glast is based on recent advances in the detection technology for major particle accelerators and bears no resemblance to what most people think of as a telescope.
Further study of the S-T segment through the antepartum period could lead to advances in the detection of fetal jeopardy before labor.
This demonstrates the critical importance of advances in the detection of cancer-causing genes.
One of the most significant advances in the detection of melanoma over the past decade has been the development of the MelaFind 15 technology by Mela Sciences.
Noteworthily, although the latter study represents a great advance in the detection of receptor receptor interactions in native tissue, the proof of concept of this theory was devised by Durroux's group through evidence for vasopressin or oxytocin receptor dimers.
Most of these studies were performed in the 1990s and early 2000s by using CGH, which now is considered a low-resolution technique but at the time was a major advance in the detection of copy number alterations throughout the whole genome.
After this phenomenon, named by Theodor Förster, was initially described in 1948 [66], FRET-based studies have expanded into other research areas with the help of advances in the fluorescence detection technique by the improved spectral resolution and high sensitivity.
Recent advances in the face detection (FD) and recognition (FR) technology may give an impression that the problem of face matching is essentially solved, e.g. via deep learning models using thousands of samples per face for training and validation on the available benchmark data-sets.
First, we summarize recent advances in the early detection and treatment of lung cancer.
