Algorithm enables early detection
نویسندگان
چکیده
منابع مشابه
Molecular MRI enables early and sensitive detection of brain metastases.
Metastasis to the brain is a leading cause of cancer mortality. The current diagnostic method of gadolinium-enhanced MRI is sensitive only to larger tumors, when therapeutic options are limited. Earlier detection of brain metastases is critical for improved treatment. We have developed a targeted MRI contrast agent based on microparticles of iron oxide that enables imaging of endothelial vascul...
متن کاملAn Improvement over Random Early Detection Algorithm: A Self-Tuning Approach
Random Early Detection (RED) is one of the most commonly used Active Queue Management (AQM) algorithms that is recommended by IETF for deployment in the network. Although RED provides low average queuing delay and high throughput at the same time, but effectiveness of RED is highly sensitive to the RED parameters setting. As network condition varies largely, setting RED's parameters with fixed ...
متن کاملKnowledge Recognition Algorithm enables P = NP
This paper introduces a knowledge recognition algorithm (KRA) that is both a Turing machine algorithm and an Oracle Turing machine algorithm. By definition KRA is a non-deterministic language recognition algorithm. Simultaneously it can be implemented as a deterministic Turing machine algorithm. KRA applies mirrored perceptual-conceptual languages to learn member-class relations between the two...
متن کاملImpedance sensing device enables early detection of pressure ulcers in vivo.
When pressure is applied to a localized area of the body for an extended time, the resulting loss of blood flow and subsequent reperfusion to the tissue causes cell death and a pressure ulcer develops. Preventing pressure ulcers is challenging because the combination of pressure and time that results in tissue damage varies widely between patients, and the underlying damage is often severe by t...
متن کاملDeep Learning Mutation Prediction Enables Early Stage Lung Cancer Detection in Liquid Biopsy
Somatic mutation calling at ultra low allele frequencies is an unmet challenge that is intractable with current state-of-the-art mutation calling methods. The ability to detect cancer associated mutations in ultra low allele frequency is a fundamental requirement for cancer early detection, monitoring, and therapy nomination using liquid biopsy methods (cell-free DNA). Here we defined a spatial...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Reviews Clinical Oncology
سال: 2017
ISSN: 1759-4774,1759-4782
DOI: 10.1038/nrclinonc.2017.37