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Accurate prediction
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Prediction equations can be used as a useful, inexpensive, and highly accurate tool for estimating Percent Body Fat (PBF) in many countries all over the world. We conducted this study to develop new predictive equations for estimating PBF in children and adolescents aged 6 to 18 years in Ho Chi Minh City (HCMC), Vietnam.
9p
vikoch
27-06-2024
3
1
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Accurate assessment of axillary status after neoadjuvant therapy for breast cancer patients with axil‑ lary lymph node metastasis is important for the selection of appropriate subsequent axillary treatment decisions. Our objectives were to accurately predict whether the breast cancer patients with axillary lymph node metastases could achieve axillary pathological complete response (pCR).
13p
vishanshan
27-06-2024
2
1
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Accurate microsatellite instability (MSI) testing is essential for identifying gastric cancer (GC) patients eligible for immunotherapy. We aimed to develop and validate a CT-based radiomics signature to predict MSI and immunotherapy outcomes in GC.
14p
vishanshan
27-06-2024
1
1
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Although papillary thyroid cancer (PTC) patients are known to have an excellent prognosis, up to 30% of patients experience disease recurrence after initial treatment. Accurately predicting disease prognosis remains a challenge given that the predictive value of several predictors remains controversial.
12p
vishanshan
27-06-2024
2
1
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Although substantial efforts have been made to build molecular biomarkers to predict radiation sensitivity, the ability to accurately stratify the patients is still limited. In this study, we aim to leverage large-scale radiogenomics datasets to build genomic predictors of radiation response using the integral of the radiation dose–response curve.
10p
vishanshan
27-06-2024
1
1
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Glycometabolism and lipid metabolism are critical in cancer metabolic reprogramming. The primary aim of this study was to develop a prognostic model incorporating glycometabolism and lipid metabolism-related genes (GLRGs) for accurate prognosis assessment in patients with endometrial carcinoma (EC).
21p
vishanshan
27-06-2024
2
1
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The methylation of SHOX2 and RASSF1A shows promise as a potential biomarker for the early screening of lung cancer, offering a solution to remedy the limitations of morphological diagnosis. The aim of this study is to diagnose lung adenocarcinoma by measuring the methylation levels of SHOX2 and RASSF1A, and provide an accurate pathological diagnosis to predict the invasiveness of lung cancer prior to surgery.
13p
vikoch
27-06-2024
1
1
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Hepatocellular carcinoma (HCC) presents a significant threat to individuals and healthcare systems due to its high recurrence rate. Accurate prognostic models are essential for improving patient outcomes. This study aimed to investigate the predictive value of the GGT to PA ratio (GPR) and to construct prognostic nomograms for HCC patients without microvascular invasion.
12p
vikoch
27-06-2024
1
1
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This present study aimed to develop and validate radiomics models based on pretreatment 18Fluorine-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)- computed tomography (CT) images to accurately predict the prognosis in patients.
14p
vikoch
27-06-2024
1
1
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This paper will primarily rely on comparative study and historical analysis. The legal framework, legal terms, theories, principles, and specific institutions will be examined to illustrate the significant influence of the Soviet Law on Chinese Criminal Procedure Law. This study helps to better understand the evolution of Chinese criminal procedure law and predict its further development more accurately.
12p
viambani
18-06-2024
2
1
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The Air Quality Index (AQI) is a tool used to measure the impact of air pollution on health over time. We present a new way for using GP to evolve models for AQI forecasting in this work GP can evolve more accurate AQI forecasting models than other standard machine learning algorithms, according to experimental results using datasets obtained from various stations across multiple cities in India.
11p
viambani
18-06-2024
1
1
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Accurately predicting the compressive strength of foamed concrete plays a key role in the wide application of foamed concrete in practice. This study investigates the performance of the six AI models in estimating the compressive strength of foamed concrete.
7p
viohoyo
25-04-2024
2
2
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Associative Classification is an interesting approach in data mining to create more accurate and easily interpretable predictive systems. This approach is often built on both association rule mining and classification techniques, to find a set of rules called association rules for classification (CAR) of label attributes.
7p
viohoyo
25-04-2024
2
2
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We describe a method that enables the multiplex screening of a pool of many different donor cell lines. Our method accurately predicts each donor proportion from the pool without requiring the use of unique DNA barcodes as markers of donor identity.
11p
vibransone
28-03-2024
5
2
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The translation of personal genomics to precision medicine depends on the accurate interpretation of the multitude of genetic variants observed for each individual. However, even when genetic variants are predicted to modify a protein, their functional implications may be unclear.
10p
vioraclene
31-03-2024
4
2
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Splicing of genomic exons into mRNAs is a critical prerequisite for the accurate synthesis of human proteins. Genetic variants impacting splicing underlie a substantial proportion of genetic disease, but are challenging to identify beyond those occurring at donor and acceptor dinucleotides.
12p
vibransone
28-03-2024
3
2
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Accurately quantifying the risk of osteoporotic fracture is important for directing appropriate clinical interventions. While skeletal measures such as heel quantitative speed of sound (SOS) and dual-energy X-ray absorptiometry bone mineral density are able to predict the risk of osteoporotic fracture, the utility of such measurements is subject to the availability of equipment and human resources.
15p
vibransone
28-03-2024
4
2
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High-grade serous tubo-ovarian cancer (HGSTOC) is characterised by extensive inter- and intratumour heterogeneity, resulting in persistent therapeutic resistance and poor disease outcome. Molecular subtype classification based on bulk RNA sequencing facilitates a more accurate characterisation of this heterogeneity, but the lack of strong prognostic or predictive correlations with these subtypes currently hinders their clinical implementation.
30p
vibransone
28-03-2024
6
2
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Multidrug-resistant Mycobacterium tuberculosis (Mtb) is a significant global public health threat. Genotypic resistance prediction from Mtb DNA sequences offers an alternative to laboratory-based drugsusceptibility testing. User-friendly and accurate resistance prediction tools are needed to enable public health and clinical practitioners to rapidly diagnose resistance and inform treatment regimens.
14p
vibransone
28-03-2024
3
2
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Structural variants (SVs) are implicated in the etiology of Mendelian diseases but have been systematically underascertained owing to sequencing technology limitations. Long-read sequencing enables comprehensive detection of SVs, but approaches for prioritization of candidate SVs are needed.
13p
viellison
28-03-2024
5
1
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