A Smartphone App for Screening Neurological Disease at Home
The RGB selfie camera and the front-facing near-infrared camera equipped for facial recognition can be used to capture an image of the eye. The...
Deep Neural Network Based 3D Reconstruction of Cellular Images to Track...
Microscopic imagers may be used in oncology to track and observe cell motions and dynamics, indicating tissues' real-time response to therapy.
Scientists from the Department...
Artificial Intelligence Based ‘Waste-to-Valuable’ Algorithm for Repurposing Chemical Wastes into Useful...
The widespread use of computational waste-to-value algorithms can speed up the productive reuse of chemicals that would otherwise incur storage or disposal expenses or...
‘SINATRA Pro’ a Computational Pipeline for the Discovery of Biophysical Signatures...
A group of scientists jointly proposed SINATRA Pro, a computational system for the extraction of key structural features between two sets of proteins. SINATRA...
Scientists Engineered a New Tool to Precisely Switch Gene Expression ‘On’...
Scientists have developed a new approach for harnessing electrical signals to turn genes on and off.
A team led by Imperial College London experts has...
A Systems Genomics Approach to Identify Hidden Genetic Connections for Precision...
A new precision medicine tool 'iSNP' uncovers hidden genetic links that could enhance IBD and other difficult illnesses treatment.
A group of scientists and clinicians...
Repurposing FDA Approved Asthma Drug to Block Crucial SARS-CoV-2 Protein
In a new study by scientists from the Indian Institute of Science (IISc), repurposing a drug used to treat asthma and allergies has been...
Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies
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...
Scientists from Scripps Research Developed a New Technique ‘CATCH’ to Pinpoint...
The new approach, developed by Scripps Research experts, has the potential to speed up the development of numerous novel drugs.
Scripps Research scientists have developed...
Scientists Discover a Sensitive Blood Test to Determine if a Pre-Cancerous...
A test developed by OHSU researchers could help doctors treat cancer earlier when it's more likely to be cured.
Scientists discover plasma cell-free RNA profiling,...
Scientists Develop a Machine Learning Model to Predict the Evolution of...
Machine learning algorithms can provide precise forecasting of virus propagation during pandemics. This method eliminates human bias and assumptions, allowing for a more accurate...
FDA-Approved Drugs Repurposing for Treating Alzheimer’s Disease using Hierarchical Cluster Analysis...
Scientists from Brown University identified the novel usage of FDA-approved drugs by cluster analysis of behavioral profiles for the treatment of neurodegenerative disorders by...
Artificial Intelligence Enables Physicians to Better Evaluate the Effectiveness of Bladder Cancer...
Consultation with a machine learning tool helped providers determine more accurately whether patients had a complete response to chemotherapy.
Scientists from the University of Michigan...
‘BioCRNpyler’ – A Python Package to Build, Manage and Explore Intricate...
Scientists from the California Institute of Technology, United States, have developed a python package, 'BioCRNpyler', to build, manage, and explore intricate biochemical models. BioCRNpyler...
Scientists Identify New Factors that Can Predict Breast Cancer Recurrence
Scientists at Georgetown Lombardi Comprehensive Cancer Center have uncovered genetics and other characteristics that can predict if a woman is at risk of breast...
Scientists Develop a Deep Learning Model ‘CAESAR’ to Connect High-Resolution 3-Dimensional...
Researchers from the University of Michigan, USA, developed a deep learning model, CAESAR (Chromosomal structure And EpigenomicS AnalyzeR), to predict nucleosome-resolution 3D chromatin contact...
Single Cell RNA Sequencing Determines 16 Distinct Cell Populations in a...
The University of Alabama in Birmingham researchers have found 16 unique cell populations in a complex part of the midbrain known as the ventral...
Scientists Analyze the Promising Role of Prostate Cancer’s New Molecular Biomarkers:...
The scientists from Unidad de Investigación Biomédica en Cáncer, México, looked at numerous facets of prostate cancer, including new molecular markers linked to diagnosis,...
Engineered Bacteria Prevent Antibiotics from Harming the Beneficial Gut Microbes
Antibiotic-degrading microbes could help avoid opportunistic infections and reduce antibiotic resistance.
Antibiotic-induced changes in the gut microbiota have been linked to a variety of metabolic...
Protein Function and Properties Characterization Using Language Models
In recent years, deep learning algorithms have shown promise in identifying protein function and extracting complex sequence-structure-function correlations.
Scientists from Middle East Technical University and...
DGCyTOF: Deep Learning with Graphic Cluster Visualisation Model for Predicting Cell...
Researchers from The Ohio State University utilized deep-learning classification and hierarchical stable-clustering approaches to predict cell types from single-cell mass cytometry data. The DGCyTOF...
First Cell Transcriptomic Atlas of a Non-Human Primate Completed by an International...
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...
Machine Learning-Driven Antibiotic Selection Model that Predicts Personalized Antibiograms
The World Health Organization (WHO) appraises that 700,000 individuals now die yearly because of antibiotic resistance and anticipates that this number will surpass 10...
The Reproducibility Crisis – Robot Scientist ‘Eve’ Finds a Lack of...
Scientists from the University of Cambridge have used a medley of automated text analysis and the 'robot scientist - Eve' to semi-automate the procedure...
Glyco-Decipher – A New Glycoproteomics Analysis Tool for Sensitive Deciphering of...
A team of scientists led by Prof. YE Mingliang from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences (CAS)...
IBM Scientists Introduce Principles of Synaptic Integration in the Development of...
The IBM Research - Zurich, scientists proposed a novel biologically-inspired optimizer for artificial and spiking neural networks that consolidate key standards of synaptic plasticity...
A Major Source of Cell-to-Cell Variability in Cell Signaling Dynamics Identified...
To estimate cell-to-cell heterogeneity in non-Markovian signaling systems, mathematicians from The Korea Advanced Institute of Science and Technology (KAIST) and Institute for Basic Science...
Vanderbilt University Researchers have Developed a Novel Method to Target Potentially...
A project coordinated by a group of researchers from the Eichman lab and the Evolutionary Studies Initiative on the research of chemical compounds produced...
Scientists Revealed the First Complete, Gapless Human Genome Sequence ‘T2T-CHM13’
An international group of scientists has finally published the whole human genome sequence. The new reference genome fills in gaps left by previous versions,...
Tiny Bacterial Nonribosomal Peptide Synthetases Could Aid in the Development of...
Researchers from McGill University collaborated with the Canadian Light Source (CLS) at the University of Saskatchewan to unlock the full potential of small biological...
Scientists Developed a New Improved Prime Editor in Plants to Produce Resistant and...
Scientists from GAO Caixia's team at the Chinese Academy of Sciences' Institute of Genetics and Developmental Biology (IGDB) with collaborators have introduced Engineered Plant...
A Deep Learning Model ‘AF2complex’ for Predicting Protein Complex Structures and...
Scientists from the Center for the Study of Systems Biology, Atlanta, in collaboration with the Georgia Institute of Technology, Atlanta, and Oak Ridge National...
Scientists Discover the Landscape of Receptor-Mediated Precision Cancer Combination Therapy through...
Scientists from the National Cancer Institute, Bethesda, and the University of Maryland have developed a computational tool to determine gene-target combinations for personalized cancer...
A New Tool ‘FORALL’ for Profiling Multi-Omics and Drug Response in...
In a report published in Nature Communications, researchers from the Department of Oncology-Pathology at Karolinska Institutet, Sweden established a cell line resource dataset and...
Scientists Design a Whole-Genome Risk Prediction of Common Diseases in the...
Preimplantation genetic testing (PGT) of embryos fertilized in-vitro has been proposed as a strategy to diminish transmission of common diseases; in any case, a...
Scientists Discovered ‘Junk DNA’ as the Key to Controlling Fear
Scientists from the University of Queensland found, a bit of "junk DNA" could be the key to eradicating fear-related memories in persons suffering from...
Scientists Developed a Computational Tool ‘CellTrek’ for Spatial Mapping of...
'CellTrek' can accurately map single cells in diverse tissue types to resolve their spatial organization. The tool identifies the location of particular cell types...
Scientists Found a New Pathway Through Which Tumor Cells Transfer Genetic...
Crislyn D'Souza-Schorey, the Morris Pollard Professor in the Department of Biological Sciences, and collaborators discovered that DNA "cargo" is transported in tiny informational sacs...
Scientists Developed an Algorithm for Biometric Identification of People By their...
According to a study undertaken by the Universidad Carlos III de Madrid (UC3M) and the Shahid Rajaee Teacher Training University of Iran, the heartbeat...
Scientists Develop a Model to Show How Antibodies Move Like a...
A new study reveals how antibodies choose which antigens to bind to while navigating the surface of pathogens such as coronaviruses. Scientists from KTH...
Advanced Algorithm REMI for Reconstruction of Codependent Cellular Interactions in Lung...
Stanford University researchers have created a graph-based algorithm for reconstructing interactomes and identifying clinically important cell-cell interactions. The algorithm can be used to create...
Scientists Developed a Hybrid Machine Learning/Deep Learning Based Covid-19 Severity Prediction...
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....
Scientists from the University of Helsinki Developed a Computational Platform ‘ScType’...
The researchers developed a computational platform ScType, which empowers a completely mechanized and super quick cell-type distinguishing proof-dependent exclusively upon given scRNA-seq information, alongside...
Computer Scientists from Rice University Develop a Program ‘Variabel’ to Find...
Variabel, a novel approach and first method designed for rescuing low frequency intra-host variants from Oxford Nanopore Technologies (ONT) data alone. Details about...
A Perfect Trio of Crystallography, Cryo-EM and AlphaFold Reveals Information on...
A team led by Karolinska Institutet used artificial intelligence (AI) and structural biology to learn more about two related proteins that protect the urinary...
Scientists from the University of California Developed a Highly Accurate Algorithm...
A team of international researchers led by the University of California San Diego's Department of Computer Science and Engineering has demonstrated that the La...
Scientists at Garvan Institute Developed a Single Test for Over 50...
Garvan Institute researchers have demonstrated how new genomic sequencing technologies might help individuals with uncommon neurological and neuromuscular conditions avoid a "diagnostic odyssey."
- A...
A Unique Lysin Capable of Killing Multidrug-Resistant Bacteria Discovered by SMART...
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...
Scientists from the University of Oxford Published Covid-19 Multi-omic Blood Atlas...
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...
Different Bacteria Identified in Seconds with ‘Fingerprint’ Machine Learning Technique
A platform for separation-free detection of bacteria in arbitrary medium has been developed by the researchers from Korea Advanced Institute of Science and Technology...
Must Read
How BALM is Redefining Binding Affinity Prediction for Unseen Targets and Drugs
In the fast-paced world of drug discovery, one of the most crucial aspects is understanding protein-ligand interactions. With the correct algorithms for predicting protein-ligand...
EPBDxDNABERT-2: A Multi-Modal Deep Learning Model for Enhanced Transcription Factor DNA Binding Prediction
It has been demonstrated that there is a functional correlation between transcriptional activity, thermodynamic stability, DNA breathing, and transcription factor (TF) binds. The researchers...
Omega-3 and Omega-6 Fatty Acids: New Allies in Cancer Prevention
A groundbreaking new research from the University of Georgia unveils that omega-3 and omega-6 fatty acids may play an integral role in cancer prevention,...
The Future of Bioinformatics: Building Expertise for Data-Driven Discovery
In an era where biological data grows exponentially, bioinformatics has emerged as a vital interdisciplinary field that combines biology, computer science, mathematics, and statistics....
The Power of Foundation Models in Pathology: How Paige’s Virchow is Changing Cancer Detection
Computational pathology is the evolution of cancer diagnosis into a new era, with the application of artificial intelligence to understand complex histopathology images. Generally,...