Chronic Diseases

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Unlocking the Secrets of Disease: The Imageable Genome and the Future of Molecular Medicine
BySwasti Tyagi November 18, 2023November 18, 2023

Researchers at the University of Lucerne utilized molecular imaging to evaluate the expression of certain regions of the human genome. The imaging techniques are part of an AI pipeline that involves human-robot cooperation using deep learning-based artificial intelligence (AI) tools. This would link discrete genes to the diseases that they could possibly be responsible for….

Read More Unlocking the Secrets of Disease: The Imageable Genome and the Future of Molecular Medicine
AI | Chronic Diseases | Health | News | Trending

A New Era of Healthcare: Discover the Potential of Smartwatches in Chronic Disease Prevention
ByDr. Tamanna Anwar May 17, 2023December 22, 2023

The University of Queensland researchers have developed a comprehensive plan outlining the integration of smartwatches into Australia’s healthcare system. However, the researchers agree that significant obstacles must be solved before this becomes a reality. A significant change in how we monitor our health and general well-being has resulted from recent technological advancements. The smartwatch is…

Read More A New Era of Healthcare: Discover the Potential of Smartwatches in Chronic Disease Prevention
AI | Bioinformatics | Chronic Diseases | Deep Learning | Health | News | Paper Summary | Trending

Transformers in Action: Deep Learning Aided Cardiac Patient Mortality Risk Prediction using Electronic Health Records
ByBanhita Maitra March 10, 2023March 10, 2023

Scientists from Finland have studied and explored two transformers (deep learning models), BERT and XLNet, in the context of predicting 6-month mortality in cardiac patients from over 23,000 heterogeneous electronic health records (EHR). Transformer neural networks in deep learning are methods used for sequential data modeling. Their inbuilt properties come in handy in predicting mortality…

Read More Transformers in Action: Deep Learning Aided Cardiac Patient Mortality Risk Prediction using Electronic Health Records
AI | Algorithm | Bioinformatics | Cancer Research | Chronic Diseases | Deep Learning | Disease Diagnosis | Documentaries | Neural Network | News | Precision Medicine | Trending

Deep Learning and Radiomics: A Game-changer for Identifying Glioblastoma and Brain Metastases
ByDr. Tamanna Anwar January 20, 2023January 20, 2023

According to a recent study from Karl Landsteiner University of Health Sciences (KL Krems), using radiomics and deep learning algorithms can quickly and accurately distinguish between glioblastoma (primary tumors) and brain metastases. The study, which was published in Metabolites, discovered that magnetic resonance-based radiological data of tumor oxygen metabolism provide a solid foundation for discrimination via…

Read More Deep Learning and Radiomics: A Game-changer for Identifying Glioblastoma and Brain Metastases
AI | Big Data | Bioinformatics | Chronic Diseases | News | Trending

Digital Twins Unlock the Key to New Biomarker Discovery for Atherosclerosis
ByDr. Tamanna Anwar January 14, 2023January 18, 2023

A recent study utilized digital twin technology to identify new markers for atherosclerotic coronary artery disease (ASCAD). The study was conducted by G3 Therapeutics, a specialist in multi-omics, and Aitia, an AI company with Gemini Digital Twin technology. The study indicates that triglyceride-rich LDL particles may be a unique biomarker for ASCAD and may also…

Read More Digital Twins Unlock the Key to New Biomarker Discovery for Atherosclerosis
AI | Bioinformatics | Cancer Research | Chemoinformatics | Chronic Diseases | Computational Models | COVID-19 | Covid-19 News | Drug Discovery | Machine Learning | News | Trending

Speeding Up Drug Formulation Development: Harnessing the Power of Machine Learning
ByDr. Tamanna Anwar January 11, 2023October 22, 2026

Scientists at the University of Toronto advanced drug formulation development by utilizing machine learning techniques to predict and guide the design of long-acting injectable drugs. Through the use of these algorithms, the scientists were able to predict the release of drugs from advanced delivery systems and use this information to inform the design of new…

Read More Speeding Up Drug Formulation Development: Harnessing the Power of Machine Learning
Bioinformatics | Chronic Diseases | Genomics | GWAS | Health | News | OMICS | Paper Summary | Sequencing | Trending

Exploring the Intersection of Genomics and Phenomics in the Study of Body Mass Index Reveals a Complex Disease Network
ByRiya Vishwakarma January 8, 2023January 20, 2023

The relationship between Body Mass Index (BMI) and several health issues that have an influence on morbidity and mortality has been the focus of research by epidemiologists and scientists with roots in China and the USA. The possibility to further our understanding of the breadth and depth of illnesses connected to obesity exists in the…

Read More Exploring the Intersection of Genomics and Phenomics in the Study of Body Mass Index Reveals a Complex Disease Network
Bioinformatics | Chronic Diseases | Computational Models | Health | Machine Learning | News | Paper Summary | Trending

Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an Early Stage of Type 2 Diabetes Mellitus
ByRiya Vishwakarma November 25, 2022November 25, 2022

Researchers at AstraZeneca and Ono Pharmaceuticals sought to create a model that could predict the likelihood that individuals with Type 2 Diabetes Mellitus (T2DM) who had no prior history of CKD or CVDs would develop CKD/HF. Using the prediction model, it would be possible to identify individuals with T2DM who are at a high risk…

Read More Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an Early Stage of Type 2 Diabetes Mellitus
AI | Algorithm | Bioinformatics | Chronic Diseases | Health | News | Trending

Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using Artificial Intelligence
ByDr. Tamanna Anwar November 20, 2022November 23, 2022

A new study published by researchers at the Mayo Clinic has shown that a smartwatch ECG can accurately detect heart failure in nonclinical environments. This is a significant breakthrough because it shows that heart failure can now be detected earlier and more effectively. The research published in Nature Medicine reports a couple of health technology…

Read More Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using Artificial Intelligence
Bioinformatics | Chronic Diseases | Machine Learning | Metagenomics | News | NGS | Paper Summary

Accurate Sepsis Diagnosis using Integrated Host-Microbe Plasma Metagenomics Profiling
ByMahi Sharma October 28, 2022October 28, 2022

Sepsis is a life-threatening condition damaging multiple organs at a time due to the host’s aberrant immune responses against infections. The current study supported by the National Heart, Lung, and Blood Institute was conducted at the University of California, San Francisco, USA, to apply an integrated host-microbe metagenomics approach to accurately diagnose potential sepsis in…

Read More Accurate Sepsis Diagnosis using Integrated Host-Microbe Plasma Metagenomics Profiling
AI | Bioinformatics | Cancer Research | Chronic Diseases | Drug Discovery | Machine Learning | News | Paper Summary | Precision Medicine | Trending

A Novel Machine Learning Method for Classifying Macrophages Could Facilitate the Development of Personalized Treatments for Multiple Diseases
ByShwetha S October 24, 2022October 22, 2026

Researchers from Trinity College Dublin have introduced a machine-learning model that classifies human macrophages based on cellular autofluorescence imaging of NAD(P)H. They have also shown that this technique is powerful for analyzing macrophage metabolism and classification. The Two-photon fluorescence lifetime imaging microscopy (2P-FLIM) is a non-invasive imaging technique that aids in visualizing cellular metabolism by…

Read More A Novel Machine Learning Method for Classifying Macrophages Could Facilitate the Development of Personalized Treatments for Multiple Diseases
AI | Bioinformatics | Chronic Diseases | Health | Machine Learning | News | Trending

Unraveling Diseases with Data – Machine Learning Helps Identify New Nonlinear Progression Patterns in Neurodegenerative Disorders
ByShwetha S October 6, 2022November 24, 2023

Researchers from the MIT-IBM Watson AI lab have developed a new machine learning-based model that recognizes ALS disease progression. The research will help design future clinical trials and discover mechanisms behind the disease. The study also highlights that the model can be extrapolated to other neurodegenerative disorders, like Alzheimer’s and Parkinson’s, to trace disease patterns. Neurodegenerative diseases…

Read More Unraveling Diseases with Data – Machine Learning Helps Identify New Nonlinear Progression Patterns in Neurodegenerative Disorders
Bioinformatics | Cancer Research | Chronic Diseases | Health | News | Paper Summary | Proteomics | Transcriptomics | Trending

Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole Transcriptome and Proteome Analyses
ByTanveen Kaur August 21, 2022October 22, 2026

Scientists from the Central South University, China, developed a novel Tumor Treating Fields ‘TTFields’ system named “CL-301A” and showcase its efficacy in the suppression of glioblastoma cell proliferation and induction of cell apoptosis. One of the most dangerous types of brain cancer is glioblastoma. The most recent method of treating glioblastoma (GBM) is called tumor…

Read More Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole Transcriptome and Proteome Analyses
Bioinformatics | Cancer Research | Chronic Diseases | Drug Discovery | Health | News | Structural Biology | Trending

A Novel Protein Structure ‘SHOC2-MRAS-PP1C (SMP) Complex’ Offers ways to Target RAS-Pathway Proteins in Cancer
ByDr. Tamanna Anwar July 15, 2022October 22, 2026

A significant complex of RAS-pathway proteins’ structure has been determined by scientists, revealing how known disease-causing mutations result in illness and offering prospective novel binding sites for cancer drugs. One of the most well-known causes of cancer is RAS gene mutations, which result in tumor formation in about 25% of cancer patients. Broad Institute of…

Read More A Novel Protein Structure ‘SHOC2-MRAS-PP1C (SMP) Complex’ Offers ways to Target RAS-Pathway Proteins in Cancer
Bioinformatics | Chronic Diseases | News | NGS | RNA-Seq | Trending

Single-Cell Map of Heart Failure Provides Insights into Novel Potential Therapeutic Targets and Biomarkers
ByDr. Tamanna Anwar June 29, 2022June 29, 2022

Researchers have discovered molecular fingerprints that lead to biological causes of disease by analyzing individual cardiac cells from heart failure patients. Heart failure is an increasingly important public health issue because it comprises a diverse range of clinical characteristics that are all related to reduced heart contractile function. By performing single-nucleus RNA sequencing on nearly…

Read More Single-Cell Map of Heart Failure Provides Insights into Novel Potential Therapeutic Targets and Biomarkers
Bioinformatics | Chronic Diseases | Computer Vision | Health | Machine Learning | News | Precision Medicine | Tools | Trending

Scientists Develop a New Computer Vision Model with Improved Proficiency to Differentiate Rheumatoid Arthritis from Osteoarthritis in Damaged Joint Tissue
ByDr. Tamanna Anwar June 9, 2022June 18, 2022

Hospital for Special Surgery (HSS) researchers in New York City have developed a computer vision tool that effectively identifies rheumatoid arthritis (RA) from osteoarthritis (OA) in joint tissue collected from patients who had total knee replacements (TKR). The findings show that the new computer vision model with improved proficiency to differentiate rheumatoid arthritis from osteoarthritis…

Read More Scientists Develop a New Computer Vision Model with Improved Proficiency to Differentiate Rheumatoid Arthritis from Osteoarthritis in Damaged Joint Tissue
Biotech | Chronic Diseases | Health | News | Trending

Researchers Identify Blood Biomarker that can Predict Onset of Crohn’s Disease Years Before Diagnosis
ByDr. Tamanna Anwar May 25, 2022June 18, 2022

A team led by the University of Toronto researcher discovered that a blood antibody can predict severe Crohn’s disease up to seven years before the disease is diagnosed. Crohn’s disease is a chronic inflammatory bowel illness for which simple and effective biomarkers are missing prior to diagnosis. It roughly affects 0.3 percent of the global…

Read More Researchers Identify Blood Biomarker that can Predict Onset of Crohn’s Disease Years Before Diagnosis

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Chronic Diseases

Accurate Sepsis Diagnosis using Integrated Host-Microbe Plasma Metagenomics Profiling

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