Results 71 to 80 of about 971,475 (405)
Composite local low-rank structure in learning drug sensitivity [PDF]
The molecular characterization of tumor samples by multiple omics data sets of different types or modalities (e.g. gene expression, mutation, CpG methylation) has become an invaluable source of information for assessing the expected performance of individual drugs and their combinations.
arxiv +1 more source
High Resolution In Vivo Bioluminescent Imaging for the Study of Bacterial Tumour Targeting [PDF]
The ability to track microbes in real time in vivo is of enormous value for preclinical investigations in infectious disease or gene therapy research. Bacteria present an attractive class of vector for cancer therapy, possessing a natural ability to grow
A Briat+72 more
core +6 more sources
Adenosquamous Carcinoma of Extrahepatic Bile Duct: A Case Report [PDF]
Most malignant tumors originating from the biliary tract are adenocarcinomas, and adenosqamous carcinoma of Klatskin's tumor is a very rare finding. An 83-yr-old man was admitted to our hospital because of jaundice.
Anna Kim+19 more
core +2 more sources
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi+6 more
wiley +1 more source
A Markov decision process approach to optimizing cancer therapy using multiple modalities [PDF]
There are several different modalities, e.g., surgery, chemotherapy, and radiotherapy, that are currently used to treat cancer. It is common practice to use a combination of these modalities to maximize clinical outcomes, which are often measured by a balance between maximizing tumor damage and minimizing normal tissue side effects due to treatment ...
arxiv +1 more source
Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning [PDF]
Low back pain (LBP) and sciatica may require surgical therapy when they are symptomatic of severe pain. However, there is no effective measures to evaluate the surgical outcomes in advance. This work combined elements of Eastern medicine and machine learning, and developed a preoperative assessment tool to predict the prognosis of lumbar spinal surgery
arxiv
In immunocompetent patients with primary central nervous system (CNS) lymphoma, combined modality therapy (CMT) using high‐dose methotrexate and whole brain radiotherapy has improved response rates compared to chemotherapy alone. The trade‐off is delayed
A. Prica, Kelvin K. W. Chan, M. Cheung
semanticscholar +1 more source
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran+16 more
wiley +1 more source
Clinical Analysis of 45 Patients with Thymic Carcinoma
OBJECTIVE To retrospectively evaluate the prognostic factors for advanced thymic carcinoma. METHODS The data from 45 patients with advanced thymic carcinoma were retrospectively analyzed according to Masaoka stage criteria.
Ruitai FAN, Jingmin WANG, Hongzhi ZHANG
doaj +1 more source
Primary endocrine therapy of locally advanced breast cancer patients [PDF]
Primary endocrine therapy has been traditionally reserved for elderly and unfit locally advanced breast cancer patients (LABC patients). In this group, the primary endocrine therapy could not be adequately compared to primary chemotherapy.
Nešković-Konstantinović Zora B.
doaj +1 more source