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Long COVID: Understanding the Lingering Effects of COVID-19
ByAnchal Negi August 12, 2024October 22, 2026

The COVID-19 pandemic has undoubtedly caused a lasting impact on the world. Millions of people worldwide are still struggling with the aftermath of COVID-19, which is increasingly referred to as Long COVID. Healthcare professionals and scientists across the globe are increasingly worried about this complex syndrome. The scale and intricacy of this post-viral condition have…

Read More Long COVID: Understanding the Lingering Effects of COVID-19
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Creating Antibodies from Scratch: Scientists Design Single-Domain Antibodies with Atomic Precision Using AI
ByDeotima Chakraborty March 21, 2024October 22, 2026

The inability to logically design new antibodies that bind a particular epitope on a target persists despite the crucial role that antibodies play in contemporary medicine. Instead, time-consuming animal immunization procedures or library screening techniques are currently used in antibody development. Here, scientists from the University of Washington show that user-specified epitopes can be bound…

Read More Creating Antibodies from Scratch: Scientists Design Single-Domain Antibodies with Atomic Precision Using AI
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The Rise of mRNA Vaccines: A Game-Changer for Public Health?
BySwasti Tyagi October 9, 2023January 25, 2024

The emergence of mRNA vaccine technology represents a monumental leap forward in disease prevention. A review article published in Nature Reviews Drug Discovery by researchers at the University of Pennsylvania and Carnegie Mellon University discusses the evolution of messenger RNA (mRNA) based vaccines over the course of the past few years. The powerful effects of…

Read More The Rise of mRNA Vaccines: A Game-Changer for Public Health?
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CodonBERT: A New Large Language Model Could Help Design Optimized mRNA Vaccines and Therapeutics
BySwasti Tyagi September 19, 2023October 22, 2026

A team of researchers at Digital R&D, Sanofi, USA, developed CodonBERT, a transformer-based large language model that is used for performing tasks related to mRNA protein prediction and analysis. It is trained by using codons as its input; 10 million sequences from a diverse range of organisms have been used to facilitate this. It selects…

Read More CodonBERT: A New Large Language Model Could Help Design Optimized mRNA Vaccines and Therapeutics
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Brock Researchers Develop AI-Powered Tool ‘DAPTEV’ to Design New Aptamer Drugs for COVID-19
ByNeegar Naushaba Iqbal August 5, 2023October 22, 2026

Traditional drug discovery and development methods are quite expensive, cumbersome, and prone to the biases of experts. A revolution in the field of drug development has emerged in the form of aptamers. Aptamers are single-stranded oligonucleotides (DNA/RNA) capable of binding to biomolecules with high affinity as well as specificity. However, the conventional process of aptamer…

Read More Brock Researchers Develop AI-Powered Tool ‘DAPTEV’ to Design New Aptamer Drugs for COVID-19
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Machine Learning Meets Virology: Scripps Scientists Unveil Tracking and Early Warning System for Viral Pandemics
ByNeegar Naushaba Iqbal July 26, 2023July 27, 2023

Imagine possessing the power to foresee the appearance of hazardous ⁠ viral strains well in advance of their impact. The scientists at Scripps Research in the USA invented an ML algorithm that employs spatial covariance, ⁠ built upon Gaussian process (GP) principles, to monitor how genetic changes influence host-pathogen balance in biological contexts. Utilizing GP-based…

Read More Machine Learning Meets Virology: Scripps Scientists Unveil Tracking and Early Warning System for Viral Pandemics
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AI-Powered Protein-Protein Interaction Drug Discovery Pipeline Yields a Promising SARS-CoV-2 Inhibitor
ByAditi Sarkar June 24, 2023June 24, 2023

The multi-adaptive Support Vector Machine Learning Algorithm (maSVM) can improve comparisons between binary Protein-Protein interaction datasets gathered in different laboratories and can be utilized to confidently prioritize potential targets for Protein-Protein Interaction (PPI) based drug discovery. The researchers first showed that the automatic classification of large quantitative interaction datasets could be performed with high confidence….

Read More AI-Powered Protein-Protein Interaction Drug Discovery Pipeline Yields a Promising SARS-CoV-2 Inhibitor
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Long-Term Protection from COVID-19: The Promise of T-Cell Vaccines Designed using Machine Learning Platform ‘RAVEN’
ByBanhita Maitra April 21, 2023April 22, 2023

Scientists from Denmark and Pennsylvania have developed a machine learning-based platform, RAVEN, that is able to design T-cell vaccines for COVID-19. These vaccines are expected to last longer than the currently available ones, thereby providing immunity against future variants of concern (VOCs). The in-silico approach for locating and selecting relevant immunogenic T-cell regions in the SARS-Cov-2 genome…

Read More Long-Term Protection from COVID-19: The Promise of T-Cell Vaccines Designed using Machine Learning Platform ‘RAVEN’
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EMBL-EBI Researchers Develop a Phylogenetic Tool ‘MAPLE’ to Uncover Insights from Pandemic-scale Genome Data
BySipra Das April 15, 2023May 21, 2023

The rapid influx of large genomic data during the recent pandemic caused by COVID-19 constrained the researcher’s ability to analyze vast microbial genomes at once due to the lack of faster and more powerful tools. Researchers at EMBL-EBI have recently come forward with a robust bioinformatics tool MAPLE which efficiently reduces the size of bulky genomic data….

Read More EMBL-EBI Researchers Develop a Phylogenetic Tool ‘MAPLE’ to Uncover Insights from Pandemic-scale Genome Data
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Novel Workflow Uses Targeted Computer Modeling to Predict Druggable Targets Against SARS-CoV-2
ByBanhita Maitra March 29, 2023October 22, 2026

Scientists from the University of Tübingen, Germany, have developed a novel workflow for predicting robust druggable targets against emerging viral infections such as the SARS-CoV-2. The workflow implementation comprises pymCADRE and PREDICATE, which incorporate metabolic changes in infected cells for accelerated prediction of drug targets. The authors generated tissue-specific metabolic models, constructed viral biomass functions,…

Read More Novel Workflow Uses Targeted Computer Modeling to Predict Druggable Targets Against SARS-CoV-2
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New Study Shows Pan-variant mRNA-LNP T Cell Vaccine Proves Effective Against SARS-CoV-2 Beta
BySejal Saxena March 15, 2023March 15, 2023

Current COVID-19 vaccines induce neutralizing antibodies that can inhibit viral entry, but their efficiency decreases when new variations arise. On the basis of short peptide epitopes that stimulate CD8+ and CD4+ T cell responses, scientists have created a new mRNA-LNP (Lipid nanoparticle) vaccine called MIT-T-COVID. Researchers evaluated this novel vaccination on mice infected with the…

Read More New Study Shows Pan-variant mRNA-LNP T Cell Vaccine Proves Effective Against SARS-CoV-2 Beta
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Repurposing Drugs Simplified with ASGARD: A Single-cell Guided Pipeline
ByBanhita Maitra March 1, 2023October 22, 2026

Scientists from the University of Michigan have developed a single-cell guided pipeline to aid the repurposing of drugs (ASGARD) by defining a drug score for drug recommendation. The drug score is calculated by considering intercellular heterogeneity in each patient tissue sample. Single-cell RNA sequencing (scRNA-seq) is essential for addressing and analyzing intercellular heterogeneity in several…

Read More Repurposing Drugs Simplified with ASGARD: A Single-cell Guided Pipeline
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New Study Finds Connection Between Immune Response & Persistent Smell Loss Post-COVID-19
BySejal Saxena January 31, 2023January 31, 2023

Most SARS-CoV-2 patients experience anosmia, or a loss of smell, which can linger for months after recovery. According to olfactory epithelium samples taken from 24 biopsies, T cell-mediated inflammation continues in the olfactory epithelium even after SARS-CoV-2 has been removed from the tissue, indicating a mechanism for long-term post-COVID-19 smell loss. The severe acute respiratory…

Read More New Study Finds Connection Between Immune Response & Persistent Smell Loss Post-COVID-19
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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
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Researchers Develop a Machine Learning Model to Predict Whether a COVID-19 Test Might be Positive or Not
ByRiya Vishwakarma December 17, 2022December 17, 2022

A study from Florida Atlantic University used machine learning to provide new evidence for understanding how molecular tests and serology tests are correlated and what features are most useful in COVID-19 testing. This could be useful in helping healthcare providers prioritize testing and treatment for patients most likely to have the virus. Severe Acute Respiratory…

Read More Researchers Develop a Machine Learning Model to Predict Whether a COVID-19 Test Might be Positive or Not
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Human Cell Atlas Mission: A Reference Map for Analyzing Human Health and Identifying, Tracking, and Treating Diseases
ByRiya Vishwakarma December 15, 2022October 22, 2026

In order to better understand human health and to identify, track, and cure diseases, the International Human Cell Atlas collaboration is building detailed reference maps of every human cell, which is life’s basic building block. The Human Cell Atlas aims to map every type of cell in the human body, revolutionizing how we understand biology…

Read More Human Cell Atlas Mission: A Reference Map for Analyzing Human Health and Identifying, Tracking, and Treating Diseases
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Researchers Elucidated the Dynamic RNA Structurome and its Potential in Targeted Therapeutics
ByMahi Sharma November 14, 2022November 29, 2022

With a thorough potential of the Ribonucleic Acids (RNA) in cellular processes, the molecule is deemed more than just being transitionary and has emerged as a master regulator of cellular processes. The regulatory functions to code proteins and untranslated regions in mRNA significantly contribute towards post-translational modifications. A review published in Nature Reviews Genetics gives biological insights…

Read More Researchers Elucidated the Dynamic RNA Structurome and its Potential in Targeted Therapeutics
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Synergistic Protein Modeling Using AlphaFold and Density Maps Improves Structure Prediction Accuracy
ByShwetha S October 27, 2022October 27, 2022

A team of researchers led by Thomas Terwilliger from the New Mexico Consortium developed a procedure where the AlphaFold structure prediction models can be automatically rebuilt based on density maps. These models might, therefore, be used as templates for generating new AlphaFold models in the future. Machine learning algorithms are widely implicated in the prediction…

Read More Synergistic Protein Modeling Using AlphaFold and Density Maps Improves Structure Prediction Accuracy
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A Systematic Proteome-scale Contactome Map Reveals How SARS-CoV-2 Communicates with Human Cells
ByMahi Sharma October 13, 2022October 22, 2026

Witnessing the most wrecking pandemic in a decade, COVID-19 visibly tested the potential of healthcare advancements. A collaborative team of researchers addressed earlier loopholes in research by systematically identifying protein interaction contacts between humans and the sars-cov-2 proteome. The team successfully evaluated the ‘contactome theory’, associating the host genome with morbidity and the COVID-19 community…

Read More A Systematic Proteome-scale Contactome Map Reveals How SARS-CoV-2 Communicates with Human Cells
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A New AI Model can Detect COVID-19 Cases by Analyzing Changes in Voice Data
ByDr. Tamanna Anwar September 12, 2022September 12, 2022

A deep learning model based on voice data from crowd-sourced audio samples detects COVID-19 cases by analyzing subtle vocal changes. At an international congress of the European Respiratory Society in Barcelona, Spain, held from 4th–6th September, researchers presented a study that uses deep learning to identify COVID-19 patients using voice data. The research findings were…

Read More A New AI Model can Detect COVID-19 Cases by Analyzing Changes in Voice Data
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Researchers at Mount Sinai Determined the Crystal Structure of the SARS-CoV-2 Key Enzyme, Paving the Way for Novel Antivirals
ByDr. Tamanna Anwar September 11, 2022October 22, 2026

Researchers at Mount Sinai have solved the high-resolution crystal structure of a critical enzyme of SARS-CoV-2, leading to the development of new antivirals. This is a major breakthrough in the battle against SARS-CoV-2 and could lead to the development of new and more effective antiviral drugs. SARS-CoV-2 is a deadly virus that has killed millions…

Read More Researchers at Mount Sinai Determined the Crystal Structure of the SARS-CoV-2 Key Enzyme, Paving the Way for Novel Antivirals
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Deep Mutational Learning Determines the Impact of SARS-CoV-2 Receptor Binding Domain Mutations on Binding and Antibody Escape
BySrishti Sharma September 3, 2022September 3, 2022

It is highly likely that the COVID-19 pandemic will last longer due to the continuous evolution of SARS-CoV-2 and the emergence of variants that are resistant to vaccines and neutralizing antibodies. The ACE2 receptor-binding domain (RBD), a prime target site for neutralizing antibodies, plays a significant role in the selection and emergence of SARS-CoV-2 variants….

Read More Deep Mutational Learning Determines the Impact of SARS-CoV-2 Receptor Binding Domain Mutations on Binding and Antibody Escape
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Epitope-Evaluator: A Shiny/R-based Web Tool for Interactively Analysing Predicted T-cell Epitopes
BySrishti Sharma September 1, 2022September 1, 2022

T-cell epitopes are predicted based on amino acid sequences of proteins from different MHC alleles using multiple immunoinformatic tools. Many of these tools produce hundreds of potential peptide candidates, but they are either non-graphical or unfriendly to non-programmers. Epitope-Evaluator is a web application developed in the Shiny/R framework for analyzing predicted T-cell epitopes interactively. A…

Read More Epitope-Evaluator: A Shiny/R-based Web Tool for Interactively Analysing Predicted T-cell Epitopes
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Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
ByTanveen Kaur August 19, 2022August 19, 2022

Universitas Gadjah Mada, Indonesia, scientists developed a low-cost, non-invasive method to rapidly sniff out COVID-19 by using an electronic nose named “GeNose C19”. The method of RT-qPCR, which stands for a reverse transcription-quantitative polymerase chain reaction, has been widely utilized to identify the SARS-CoV-2 virus that causes COVID-19. However, clinicians frequently prefer to use a…

Read More Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
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iLINCS: An Integrative Web-based Platform for Analysis of OMICS Data and Signatures of Cellular Perturbations
ByTanveen Kaur August 15, 2022October 22, 2026

The University of Cincinnati scientists introduce iLINCS, an integrative web-based platform for analyzing OMICS data and markers of cellular disturbances. The user-friendly interfaces of iLINCS allow for the execution of sophisticated omics signature analyses, mechanism of action analysis, and signature-driven drug repositioning. Only a few systems exist that combine several omics data types, bioinformatics tools,…

Read More iLINCS: An Integrative Web-based Platform for Analysis of OMICS Data and Signatures of Cellular Perturbations
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“Zip Codes” Direct RNA Molecules to Reach their Intended Destinations
ByDr. Tamanna Anwar July 28, 2022July 28, 2022

Scientists from the Weizmann Institute resolved the mystery of how RNA molecules get to their intended destinations. Each cell in our body receives instructions from its DNA, on how to function, in the form of RNA molecules. RNA has lately gained attention as the foundation for cutting-edge COVID-19 vaccines, but fundamental information about this important…

Read More “Zip Codes” Direct RNA Molecules to Reach their Intended Destinations
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Scientists Devised a Bioinformatics Method ‘COJAC’ for Early Detection and Surveillance of SARS-CoV-2 Genomic Variants in Wastewater
ByTanveen Kaur July 21, 2022November 11, 2022

Using read pairs with several SARS-CoV-2 variant-specific signature mutations as a reliable signal of low-frequency variants, scientists develop the bioinformatics technique known as COJAC (Co-Occurrence adjusted Analysis and Calling). The genomic sequencing, in conjunction with COJAC, can offer population-level estimates of the prevalence and fitness of emerging variants from wastewater samples earlier and on the basis…

Read More Scientists Devised a Bioinformatics Method ‘COJAC’ for Early Detection and Surveillance of SARS-CoV-2 Genomic Variants in Wastewater
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Contact Perturbation Analysis of the SARS-CoV-2 Delta Variant Singular Interface Dynamics
ByTanveen Kaur July 16, 2022November 11, 2022

Scientists demonstrate that L452R and T478K mutations in the Delta variant interact synergistically with nearby residues to cause significant alterations in the spike/ACE2 interface, suggesting a single mode of action. Understanding the molecular distinctions of emerging SARS-CoV-2 variants is essential because they raise questions about the capacity to endure the Covid-19 pandemic. Using crystallographic structures…

Read More Contact Perturbation Analysis of the SARS-CoV-2 Delta Variant Singular Interface Dynamics
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Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs to Treat Covid-19
ByDr. Tamanna Anwar May 26, 2022October 22, 2026

Controlling the spread of the highly contagious disease and protecting human health requires developing new medications that stay effective against growing COVID-19 variations. After spending more than two years studying SARS-CoV-2, the virus that causes COVID-19, the researchers at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) are designing and testing small-molecule antivirals…

Read More Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs to Treat Covid-19
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A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions
ByTanveen Kaur May 14, 2022November 9, 2022

A deep learning-based method for predicting the biophysical and biochemical features of protein-ligand complexes developed by researchers could help discover new drug candidates. Scientists formulate novel parallel graph neural networks for decoding protein-ligand interactions. This methodology can serve as an interpretable and explainable artificial intelligence (AI) tool for predicted activity, potency, and biophysical properties of…

Read More A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions
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SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility
ByDr. Tamanna Anwar May 13, 2022June 18, 2022

The National Institutes of Health’s discovery could lead to new approaches to tackle future SARS-CoV-2 variants. According to a study by experts at the National Institutes of Health, unlike other SARS-CoV-2 variants, the Delta variant can bind to copies of itself, generating larger aggregations, or clumps, of virus particles. According to the researchers, this connecting…

Read More SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility
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Scientists Revealed the Human Genetic Epidemiology of the COVID-19 Disease
ByTanveen Kaur May 12, 2022October 22, 2026

Scientists from the University of Helsinki, Broad Institute, and Harvard Medical School have revealed the human genetic epidemiology of the COVID-19 disease caused by SARS-CoV-2. The study indicates that the genetic association studies have been particularly fast in conveying new genetic signals underlying COVID-19 severity and disease susceptibility and can advance the treatment significantly. Human…

Read More Scientists Revealed the Human Genetic Epidemiology of the COVID-19 Disease
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Repurposing FDA Approved Asthma Drug to Block Crucial SARS-CoV-2 Protein
ByDr. Tamanna Anwar May 2, 2022October 22, 2026

In a new study by scientists from the Indian Institute of Science (IISc), repurposing a drug used to treat asthma and allergies has been shown to bind and block a critical protein produced by the virus SARS-CoV-2, reducing viral replication in human immune cells. The US Food and Drug Administration (FDA) approved drug, montelukast, has…

Read More Repurposing FDA Approved Asthma Drug to Block Crucial SARS-CoV-2 Protein
AMR Alert | Antibiotic Resistance | COVID-19 | Covid-19 News | Drug Discovery | Paper Summary | Precision Medicine

Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies
ByTanveen Kaur May 1, 2022October 22, 2026

An expert scientist affiliated with the Center for Discovery and Innovation and a colleague from Harvard T.H. Chan School of Public Health discussed the challenges and priorities in the anti-tuberculosis treatment strategies and drug development. The study published in Nature Reviews Microbiology this week suggests that the preclinical and clinical anti-tuberculosis treatment methodologies depicted in…

Read More Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies
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Scientists Develop a Machine Learning Model to Predict the Evolution of an Epidemic Accurately
ByDr. Tamanna Anwar April 28, 2022June 18, 2022

Machine learning algorithms can provide precise forecasting of virus propagation during pandemics. This method eliminates human bias and assumptions, allowing for a more accurate prediction of pandemic evolution. Researchers from KAUST developed a dynamic machine learning model with an efficient forecasting approach that can predict confirmed and recovered COVID-19 times series data with high accuracy….

Read More Scientists Develop a Machine Learning Model to Predict the Evolution of an Epidemic Accurately
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First Cell Transcriptomic Atlas of a Non-Human Primate Completed by an International Team Led by BGI
ByDr. Tamanna Anwar April 15, 2022June 18, 2022

Researchers from BGI-Research, in collaboration with scientific research teams from China, Germany, Italy, Singapore, Spain, Sweden, and the United Kingdom, published the world’s first non-human primate whole-body cell transcriptomic atlas in the scientific journal Nature this week, in a breakthrough that could lead to scientific advancement in the treatment of human diseases. The study will…

Read More First Cell Transcriptomic Atlas of a Non-Human Primate Completed by an International Team Led by BGI
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Scientists Develop a Model to Show How Antibodies Move Like a Playing Child While Navigating Pathogen Surfaces
ByDr. Tamanna Anwar March 25, 2022June 18, 2022

A new study reveals how antibodies choose which antigens to bind to while navigating the surface of pathogens such as coronaviruses. Scientists from KTH Royal Institute of Technology and Karolinska Institutet have developed a model that implies pathogen hunters move like a child playing in a stream with stepping stones. The study displays antibody–antigen interactions…

Read More Scientists Develop a Model to Show How Antibodies Move Like a Playing Child While Navigating Pathogen Surfaces
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Scientists Developed a Hybrid Machine Learning/Deep Learning Based Covid-19 Severity Prediction Model to Support Clinical Decision Making
ByTanveen Kaur March 23, 2022November 9, 2022

Scientists from Fondazione Poliambulanza Istituto Ospedaliero, Italy, developed a hybrid machine learning/deep learning model to classify patients in two outcome categories, non-ICU, and ICU. With the likelihood score belonging to an outcome class and case-based SHAP interpretation of feature importance, the model intends to give clinical decision support to medical physicians. The scientists devised a…

Read More Scientists Developed a Hybrid Machine Learning/Deep Learning Based Covid-19 Severity Prediction Model to Support Clinical Decision Making
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Computer Scientists from Rice University Develop a Program ‘Variabel’ to Find ‘Low-Frequency’ Variants in Sequence Data
ByDr. Tamanna Anwar March 15, 2022June 18, 2022

Variabel, a novel approach and first method designed for rescuing low frequency intra-host variants from Oxford Nanopore Technologies (ONT) data alone. Details about variants hidden in the deluge of genetic SARS-CoV-2 sequences might be helpful if researchers can find them. A new program developed at Rice University’s George R. Brown School of Engineering will make…

Read More Computer Scientists from Rice University Develop a Program ‘Variabel’ to Find ‘Low-Frequency’ Variants in Sequence Data
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A Unique Lysin Capable of Killing Multidrug-Resistant Bacteria Discovered by SMART Researchers
ByDr. Tamanna Anwar March 10, 2022October 22, 2026

Antimicrobial activity of novel lysin Abp013 against Acinetobacter baumannii and Klebsiella pneumoniae has been demonstrated. Scientists from the Antimicrobial Resistance (AMR) Interdisciplinary Research Group at the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, have discovered Abp013, a novel phage lysin that might be utilized as an antibacterial agent against two…

Read More A Unique Lysin Capable of Killing Multidrug-Resistant Bacteria Discovered by SMART Researchers
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Scientists from the University of Oxford Published Covid-19 Multi-omic Blood Atlas (COMBAT) that Identifies Illness Severity and Specificity Markers
ByDr. Tamanna Anwar March 8, 2022October 22, 2026

In an integrated comparison with influenza and sepsis patients against healthy volunteers, the researchers show a complete multi-omic blood atlas for patients with different COVID-19 severity. Immune signatures and host response correlations are identified. Research describing markers of COVID-19 disease severity has been published by a multi-disciplinary, cross-divisional collaborative team led by the University of…

Read More Scientists from the University of Oxford Published Covid-19 Multi-omic Blood Atlas (COMBAT) that Identifies Illness Severity and Specificity Markers
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Scientists from Princeton University Developed Artificial Intelligence Based Smartwatch App ‘CovidDeep’ for COVID-19 Detection
ByDr. Tamanna Anwar March 4, 2022June 18, 2022

New software built by Princeton University researchers may determine whether someone is infected with COVID-19 in minutes by combining questions about a person’s health with data from wristwatch sensors. The study led by Niraj Jha, a professor of electrical and computer engineering at Princeton University, resulted in this new diagnostic tool. His group is working…

Read More Scientists from Princeton University Developed Artificial Intelligence Based Smartwatch App ‘CovidDeep’ for COVID-19 Detection
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Drug Discovery | RNA-Seq | Sequencing | Trending

Targeted Enzymes Knock Down Viral RNA
ByDr. Tamanna Anwar March 3, 2022October 22, 2026

The team of researchers led by the Technical University of Munich (TUM) was able to destroy the genetic code of SARS-CoV-2 by using particular enzymes, shortly after the virus had invaded the cell. The data might be utilized to design a novel COVID-19 treatment. The building instructions for proteins and other compounds are found in…

Read More Targeted Enzymes Knock Down Viral RNA
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Scientists from Yale University Developed a New Data Analysis Tool ‘Multiscale PHATE’ that Reveals Significant Covid-19 Clues
ByDr. Tamanna Anwar March 2, 2022June 18, 2022

Yale scientists report in the journal Nature Biotechnology this week that a novel data analysis technique they created has uncovered the particular immune cell types linked to an elevated risk of mortality from COVID-19. A variety of technologies provide high-throughput biological data by measuring dozens to tens of thousands of features in millions of cells…

Read More Scientists from Yale University Developed a New Data Analysis Tool ‘Multiscale PHATE’ that Reveals Significant Covid-19 Clues
Bioinformatics | COVID-19 | Covid-19 News | Database | Drug Discovery | Structural Biology | Trending

Scientists Discovered a New Protein Group that Serves Critical Function in Nature
ByDr. Tamanna Anwar February 17, 2022October 22, 2026

Researchers from Göttingen University have found a protein switch that controls enzymes in pathogens. An allosteric lysine–cysteine redox switch with a covalent NOS bridge modulates enzyme activity in response to redox changes. Proteins are the “workhorses” of all living cells and the chemical foundation of life. These little machines are required for performing various activities…

Read More Scientists Discovered a New Protein Group that Serves Critical Function in Nature
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COVID-19 Phytochemical Drug Discovery with High-Resolution Computational Docking and Machine Learning Enabled Binder Prediction
BySwati Yadav February 11, 2022November 25, 2023

The researchers at Michigan State University in the United States used extensive structural datasets along with a refined and annotated collection of antiviral phytochemicals to determine which naturally derived medicines have the best chance of provoking strong binding interactions with SARS-CoV-2 proteins and thus preventing or disrupting the viral infection process. Millions of people have…

Read More COVID-19 Phytochemical Drug Discovery with High-Resolution Computational Docking and Machine Learning Enabled Binder Prediction
AI | AMR Alert | Biotech | Covid-19 News | Health | Machine Learning | News | Trending

Scientists Develop a Model Based on Artificial Intelligence to Predicts Risk of Future Heart Attack
ByDr. Tamanna Anwar January 16, 2022June 18, 2022

The PET/CT artificial intelligence model performed better than clinical data in predicting heart attack risk in individuals with established coronary artery disease. Predicting a heart attack in standard clinical practice is difficult. Cardiovascular risk factors and scores are commonly used to predict the chance of a heart attack, especially in individuals with suspected coronary artery…

Read More Scientists Develop a Model Based on Artificial Intelligence to Predicts Risk of Future Heart Attack
AI | AMR Alert | Bioinformatics | Covid-19 News | Machine Learning | News | OMICS | Trending

AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain
ByDr. Tamanna Anwar January 11, 2022June 18, 2022

The research published in Nature combines single-cell technologies and artificial intelligence (AI) to create a new picture of gene regulation in all the fruit fly’s brain cells. The researchers utilized deep learning to discover how certain sections of DNA influence neuronal identity from birth to adulthood. The Nature study will likely boost AI-driven biomedical research,…

Read More AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain
AI | Bioinformatics | Covid-19 News | Genomics | Machine Learning | News | Precision Medicine | Trending

Transforming DNA-Repair Visualization by Machine Learning Coupled High-Throughput Microscopy
ByDr. Tamanna Anwar January 11, 2022June 18, 2022

Machine learning may aid in repairing genetic damage and avoiding DNA mutations and chronic diseases. Scientists from Massachusetts General Hospital and the National Cancer Research Centre have created novel methods for seeing DNA repair in detail, using machine learning and high-throughput microscopy, and have discovered new repair proteins. The results might open the path for…

Read More Transforming DNA-Repair Visualization by Machine Learning Coupled High-Throughput Microscopy
AMR Alert | Covid-19 News | Featured | Machine Learning | News | RNA-Seq | Trending

Evaluating gene expression in single cells with a novel computational approach identifies potential therapeutic targets of Atherosclerosis
ByDr. Tamanna Anwar January 10, 2022June 18, 2022

By inventing and deploying a novel single-cell sequencing technique that potentially improves upon those already in use, researchers at the University of Chicago Medicine have discovered new potential therapeutic targets to treat atherosclerosis and coronary artery disease. The research will assist other scientists in evaluating single-cell genetic data more efficiently as a result of this…

Read More Evaluating gene expression in single cells with a novel computational approach identifies potential therapeutic targets of Atherosclerosis

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Covid-19 News

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