Leukemia

Constructing a Risk Prediction Model for Lung Cancer Recurrence by Using Gene Function Clustering and Machine Learning.

OBJECTIVE: A significant proportion of patients with early non-small cell lung cancer (NSCLC) can be cured by surgery. The distant metastasis of tumors is the most common cause of treatment failure. Precisely predicting the likelihood that a patient develops distant metastatic risk will help identify patients who can further intervene, such as conventional adjuvant chemotherapy or experimental dru...

Proteomics Analysis of FLT3-ITD Mutation in Acute Myeloid Leukemia Using Deep Learning Neural Network.

Deep Learning can significantly benefit cancer proteomics and genomics. In this study, we attempted to determine a set of critical proteins that were associated with the FLT3-ITD mutation in newly-diagnosed acute myeloid leukemia patients. A Deep Learning network consisting of autoencoders formed a hierarchical model from which high-level features were extracted without labeled training data. Dime...

Mammalian Annotation Database for improved annotation and functional classification of Omics datasets from less well-annotated organisms.

Next-generation sequencing technologies and the availability of an increasing number of mammalian and other genomes allow gene expression studies, par...

Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature.

Karakurt N, Uslu İ, Aygün C, Albayrak C. Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the lit...

Anticancer Activity of Polyisoprenoids from Blume. in WiDr Cells.

Colorectal cancer is the third most common cancer world wide and has been occurred more in developing regions. The use of conventional chemotherapy ag...

Large Cell Neuroendocrine Carcinoma of the Extrahepatic Bile Duct.

Primary neuroendocrine tumors originating from the extrahepatic bile duct are rare. Among these tumors, large cell neuroendocrine carcinomas (NECs) ar...

[A real-world study of paritaprevir/ritonavir-ombitasvir combined with dasabuvir in the treatment of genotype 1b chronic hepatitis C].

To recognize the efficacy and safety of paritaprevir/ritonavir-ombitasvir combined with dasabuvir (OBV/PTV/RTV+DSV) in the treatment of genotype 1b c...

Cancers classification based on deep neural networks and emotional learning approach.

In the present era, enormous factors contribute to causing cancer. So cancer classification cannot rely only on doctor's thoughts. As a result, intell...

[A Case of Laparoscopic Resection for Locally Advanced Primary Rectal Cancer after Neoadjuvant Chemotherapy].

We treateda 70-year-oldfemale patient with locally advancedrectal cancer accompaniedby metastases to other organs. Three courses of S-1 plus oxaliplat...

[Surgical Resection of Hepatic Portal Lymph Node Metastasis after Repeated Treatment for Hepatocellular Carcinoma Recurrence].

We encountered a case of hepatic portal lymph node metastasis after repeated treatment for hepatocellular carcinoma (HCC)recurrence. A 73-year-old mal...

[Effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells and the underlying mechanisms].

To investigate the effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells.
 Methods...

MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.

Bone age assessment (BAA) is a commonly performed diagnostic study in pediatric radiology to assess skeletal maturity. The most commonly utilized meth...

Assessing Deep and Shallow Learning Methods for Quantitative Prediction of Acute Chemical Toxicity.

Animal-based methods for assessing chemical toxicity are struggling to meet testing demands. In silico approaches, including machine-learning methods,...

Feasibility study of stain-free classification of cell apoptosis based on diffraction imaging flow cytometry and supervised machine learning techniques.

This study was to explore the feasibility of prediction and classification of cells in different stages of apoptosis with a stain-free method based on...

Detecting Chemotherapeutic Skin Adverse Reactions in Social Health Networks Using Deep Learning.

This study reports proof-of-principle early detection of chemotherapeutic-associated skin adverse drug reactions from social health networks using a d...

MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.

Glioblastoma Multiforme (GBM), a malignant brain tumor, is among the most lethal of all cancers. Temozolomide is the primary chemotherapy treatment fo...

Machine Learning Enables Live Label-Free Phenotypic Screening in Three Dimensions.

There is a large amount of information in brightfield images that was previously inaccessible by using traditional microscopy techniques. This informa...

Predicting Clinical Outcomes in Colorectal Cancer Using Machine Learning.

Using gene markers and other patient features to predict clinical outcomes plays a vital role in enhancing clinical decision making and improving prog...

Overview of the Biological Activities of a Methanol Extract from Wild Red Belt Conk, Fomitopsis pinicola (Agaricomycetes), Fruiting Bodies from Central Italy.

Fomitopsis pinicola (Sw.) P. Karst. (Fomitopsidaceae) is a medicinal mushroom with a variety of healthy properties. In this study we tested the radica...

Effects of Single Vitamin D₃ Injection (200,000 Units) on Serum Fibroblast Growth Factor 23 and Sclerostin Levels in Subjects with Vitamin D Deficiency.

BACKGROUND: Vitamin D deficiency remains common in all age groups and affects skeletal and non-skeletal health. Fibroblast growth factor 23 is a bone-...