Clinical Prognostic and Predictive Biomarkers
Material type:
ArticlePublication details: MDPI - Multidisciplinary Digital Publishing Institute 2024Description: 1 electronic resource (320 p.)Content type: - text
- computer
- online resource
- 9783725805877
- 9783725805884
- AFP
- CD64 index
- COVID symptoms
- COVID-19 biomarkers
- CRP
- Clostridioides difficile
- FDG-PET
- Maffucci syndrome
- Necl
- Nectin
- Ollier disease
- PASC
- PCT
- PIVKA-II
- Perthes disease
- SARS-CoV-2
- WBC
- X-ray computed
- abdominal infection
- acute pancreatitis
- advanced methods
- antimicrobial resistance
- biological therapy
- biomarker
- biomarkers
- brain imaging
- breast cancer
- bronchoalveolar lavage fluid
- cancer
- candidate genes
- cardiotoxicity
- cartilage tumour
- cervical cancer
- chemotherapy
- chest imaging
- chronic subdural hematoma
- colorectal
- conventional methods
- ddPCR
- diagnosis
- diagnostics
- early diagnosis
- emergency department
- extraskeletal neoplasms
- fatigue
- gastrointestinal stromal tumor
- gene expression
- genetic algorithm
- haemangioma
- hepatocellular carcinoma
- hormones
- hypertension
- immune response
- immune-related lncRNA
- immunotherapy
- inflammatory bowel disease
- isocitrate dehydrogenase
- kazakhstan
- late-line treatment
- long COVID
- lung adenocarcinoma
- lung neoplasm
- mRCCs
- machine learning
- mesothelioma
- metabolites
- miRNAs
- mid-regional proadrenomedullin
- modern
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In this Special Issue, we finally included 20 papers, focused on multiple clinical diseases, including cancers, infectious diseases (COVID-19, pancreatitis, etc.), autoimmune diseases, and metabolic diseases. In terms of the types of biomarkers, they include non-coding RNA, inflammatory factors, cytokines, etc. These papers have explored the clinical biomarkers in diagnosis, risk stratification, treatment response, and prognosis assessment in their respective fields, which is of great significance for the clinical management and future research pertaining to these diseases.
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eng
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