New AI Model Predicts Life Outcomes from Health and Career Data
Artificial intelligence continues advancing into uncharted territory, now claiming the ability to peek into people's futures. Researchers from the Technical University of Denmark have...
Atomic AI’s ATOM-1: Leveraging Chemical Mapping Data to Optimize RNA Therapeutics
New avenues are being paved in the world of healthcare every day. One of the most promising new developments is the creation of RNA-based...
Google Unveils MedLM – New AI Models to Transform Healthcare
Google recently announced the launch of MedLM, a family of large language models specifically fine-tuned to revolutionize medicine and life sciences. MedLM brings the...
The Rising Potential of Deep Neural Networks in Mimicking Brain Responses...
One of the primary challenges contemporary neuroscience researchers face is building a successful and accurate computational model of the various sensory systems in the...
New AI Model ‘popEVE’ Accelerates Rare Disease Diagnosis by Predicting Most...
A newly developed AI model called popEVE shows promising results for accelerating the diagnosis of rare genetic disorders by predicting which mutations in a...
Unlocking the Mysteries of the Mammalian Brain: A Comprehensive Atlas Reveals...
Scientists from the Broad Institute have made a groundbreaking discovery in the field of neuroscience by mapping the locations of hundreds to thousands of...
Stanford Medicine Scientists Inch Closer to Predicting Which of Our Organs...
In a recently published study, Stanford Medicine researchers highlighted age-related problems in humans and showed how aging varies from person to person and between...
A New Era in Diabetes Assessment: Skin Scanner and AI Score...
A new non-invasive imaging technique called raster-scan optoacoustic mesoscopy (RSOM) shows promise for detecting diabetes progression and severity by visualizing microscopic changes in the...
Broad Institute Researchers Unveil a New “Dictionary” of Immune Responses to...
A research team led by Prof. Nir Hacohen from the Broad Institute of MIT and Harvard, Cambridge, designed the study Dictionary of Immune Responses...
Analyzing Bio-Ontologies Made Easy: A Deep Dive into simona R Package...
As modern biology embraces high-throughput genomics and multi-omics profiling, the torrents of data now routinely generated necessitate improved systems organizing information to enable meaningful...
Unleashing the Power of Recurrent Neural Networks for Orally Bioavailable Drug...
NovoMol is a novel de novo technique that increases the efficiency of clinical trial times by mass-generating therapeutic molecules with excellent oral bioavailability through...
Meet Multiple Protein Profiler: A New Tool for Analyzing Proteomic Datasets
Dalhousie University, Canada researchers have developed a new web-based tool called Multiple Protein Profiler (MPP) that can efficiently calculate 12 key physicochemical properties of...
French Startup Selling $1,000 DNA Cards Capable of Storing Messages in...
Biomemory, a French digital storage startup, recently unveiled encapsulated DNA storage devices the size of credit cards, holding personalized messages as brief proofs of...
Unlocking the Secrets of Life: Universal Cell Embeddings – A Revolutionary...
Universal Cell Embedding (UCE) is a foundation model proposed by a group of scientists from Stanford University. Using a corpus of cell atlas data...
Revolutionizing Molecular Dynamics Analysis with VIAMD: A Unified Approach to Visualization,...
Many different tools are needed for the standard molecular dynamics (MD) analysis workflow, which frequently leads to a lack of coordination and interaction between...
From Genes to Therapies: How Bioinformatics is Revolutionizing Translational Medicine
We live in an era of big data. Advancements in high-throughput sequencing and other omics technologies have led to exponential growth in biological data...
BARtab and Bartools: Revolutionizing Cellular Barcoding Analysis in Genomics Research
Researchers from the Peter MacCallum Cancer Centre, Australia, have introduced an integrated open-source toolset called BARtab and bartools to streamline the analysis of cellular barcoding experiments....
Decoding the Dance of Proteins and Nucleic Acids: Machine Learning Empowers...
Researchers at the University of Washington, USA, have developed a new AI system called RoseTTAFoldNA that can rapidly and accurately predict the 3D structures...
UK Biobank Releases Unprecedented Genomic Data Trove to Transform Global Health
In a monumental milestone, UK Biobank has unveiled open access to incredible whole genome sequencing data for its over half a million participants. This...
Transforming Fragment-based Drug Design: Stanford’s FRAME Employs Machine Learning to Expand...
Stanford University researchers developed FRAME (Fragment-Based Molecular Expansion), a machine learning framework that uses three-dimensional structures of interactions between proteins and ligands to facilitate...
Decoding the Protein-Ligand Enigma: A Deep Dive into Deep Learning Approaches...
Researchers from the University of Edinburgh, UK, explore the impact of ligand and protein encodings on binding affinities prediction for different data sets, a...
Genome LLMs: Revolutionizing Genomics with Transformer-based Large Language Models
Deep learning techniques have had a significant influence on genomics and the sequencing techniques employed in the field due to the exponential advancements in...
The Tail that Wiggles: A Reaction-Diffusion Model Unveils the Mechanism Behind...
The graceful, rhythmic beating of slender cellular appendages called flagella allows sperm cells and microorganisms like algae to swim. But how these waving motions...
Transforming Infection Diagnosis: Saliva-Based mRNA Biomarker for Accurate Detection
Since the COVID pandemic began, the world has been reminded of the poor reliability of elevated body temperature for detecting infections. Even when infected...
Meet NeuroVelo: A New Tool to Decode Cellular Dynamics from Single-cell...
A study conducted at the International School for Advanced Studies (SISSA) in Trieste, Italy, introduced NeuroVelo, a novel method tackling the challenge of reconstructing...
New Machine Learning Technique Predicts Cancer Patient Cure Rates More Accurately
As computing power has exponentially grown, machine learning (ML) techniques have gained immense popularity in healthcare - including predicting outcomes for patients with devastating...
UK Approves Revolutionary World-first Gene Editing Treatment for Blood Disorders
The UK has achieved a historic milestone by becoming the first country to authorize a revolutionary new treatment for two serious inherited blood conditions...
UCSD’s EUGENe: A New Deep Learning Toolkit to Decode the Regulatory...
Researchers at the University of California, San Diego, built EUGENe (elucidating the utility of genomic elements with neural nets) – an end-to-end Python toolkit...
Enlightening the Proteomic Space with Chroma: A Revolutionary Generative Model for...
Proteins are incredible molecules that carry out nearly every function necessary for life. However, their staggering complexity has made designing new proteins an immensely...
Unravel Cell-cell Communication with CellPhoneDB v5: A Cutting-edge Single-cell Multiomics Toolkit
We often underestimate the crucial role played by communications between cells to sustain living organisms. Flawless communication between cells is a necessity to maintain...
Unlocking the Secrets of Disease: The Imageable Genome and the Future...
Researchers at the University of Lucerne utilized molecular imaging to evaluate the expression of certain regions of the human genome. The imaging techniques are...
Demystifying Big Data with TBtools-II: A Versatile and Customisable All-in-One Platform...
TBtools, a toolkit used for data analysis and bioinformatics tasks, was released in 2020 and quickly found a large audience – thousands of researchers...
Meet MiRGraph: A Novel Deep Learning Algorithm to Predict miRNA-target Interactions
A team of researchers from McGill University and Hunan University developed MiRGraph, a multi-view feature-learning method based on transformers that have the ability to...
Navigating the Complex Transcriptomic Landscape of Neurodegeneration with ZEBRA
Neurodegenerative diseases like Alzheimer's and Parkinson's remain poorly understood despite intensive research. While sequencing studies have profiled diverse brain cell populations, integrating findings into...
Meet A3D-MODB: A New Database for Predicting Protein Aggregation in Model...
The Protein Folding and Computational Diseases Group at IBB-UAB, in collaboration with researchers from the University of Warsaw, developed a new database, A3D-MOBD (A3D...
Harnessing Artificial Intelligence to Decode Sudden Cardiac Death
Sudden cardiac death, the abrupt loss of heart function leading to mortality, accounts for up to 20% of passings globally. Despite being a major...
MIT’s iPGS: A New Inclusive Polygenic Scoring Model Revolutionizes Disease Risk...
Massachusetts Institute of Technology (MIT) computer scientists developed iPGS, a model that gives accurate polygenic score calculations for the genetic makeup of individuals belonging...
DeepSA: A Cutting-edge Chemical Language Model for Compound Synthesis Accessibility Prediction
As computationally generated molecules become more popular in the fields of drug development and biotechnology, ease of synthesis becomes a common problem. Often, the...
EasyDock: A Scalable and User-friendly Tool for High-throughput Molecular Docking
Computational tools that are currently used for molecular docking are difficult to integrate into different computational distributions and interfaces; this becomes very inconvenient for...
Illuminating the Molecular Landscape of Disease with DiSignAtlas
Identifying the complex molecular changes underlying diverse diseases remains a grand challenge in biomedicine. While high-throughput omics technologies have enabled unbiased interrogation of disease...
Cellsnake: A New Tool Makes Single-cell RNA Sequencing Analysis Easier Than...
A collaborative effort between several medical departments at the University of Oslo led to the development of Cellsnake, a convenient tool for users to...
The AlphaFold Revolution Continues: Unraveling the Next-Gen Advancements
The introduction of AlphaFold 2 was a groundbreaking breakthrough in the field of predicting protein structures and interactions. Google's DeepMind, was the driving force...
Deep Learning Meets Clinical Microbiology: Unveiling DeepColony for Automated Culture Plates...
The introduction of Full Laboratory Automations has served to revolutionize the workflows of labs worldwide, helping with the automation of routine tasks and the...
Demystifying the Genetic Architecture of Proteins through Experimental Models
A collaborative effort between researchers from the UK, Spain, and Germany utilized experimental methods to explore amino acid sequence spaces and demonstrated that for...
Illuminating the Complexity of Interactions within and between Proteins and Ligands...
Computational methods have revolutionized our understanding of molecular interactions and their pivotal role in the stability of biomolecular structures and complexes. These insights are...
Meet geNomad: A Cutting-Edge Tool for Mobile Genetic Elements Detection
Mobile genetic elements (MGEs) are transposable elements or transposons, which are DNA sequences that have the ability to move within a genome. They are...
New Advances in De Novo Protein Design Open the Door to...
Protein engineering is a fast-growing area of biotechnology. Responsible for carrying out nearly every biological function, the question of how to reliably engineer them...
Alignment-Based DNA Language Models: The GPN-MSA Approach Enables Accurate Genome-wide Variant...
In the dynamic landscape of biology, researchers around the world aim to unlock the secrets held in the genetic code. With the introduction of...
New Deep Learning Framework ‘DEMINING’ Distinguishes DNA and RNA Mutations Directly...
Researchers have introduced a groundbreaking computational framework called DEMINING, designed to directly identify expressed DNA and RNA mutations in RNA deep sequencing data. This...
Visualizing Complex Biological Networks with ‘ggkegg’
The Kyoto Encyclopedia of Genes and Genomes (KEGG) database serves as an invaluable resource for systems biology research across diverse fields. It provides comprehensive...
Must Read
AI-Assisted Gene Editing: CRISPR-GPT, the Future of Efficient CRISPR Experiment Design
The ability to precisely alter genes with CRISPR technology has revolutionized biomedical research. It does, however, take a thorough grasp of CRISPR technology and...
From Genome to Function: AI Predicts Gene Regulation in Newly Sequenced Plants
A recent study published in Nature Communications explored the relationship between gene expression prediction and the use of deep learning models, which are the...
Transforming Bio-Chemical Engineering with DetSpace’s Detectable Pathway Design
Think of a society where daily requirements – such as biofuels for cars and drugs to cure illnesses – are not manufactured in polluting...
Revolutionizing Protein-Protein Interaction Prediction with ProLLM’s Chain-of-Thought Enhanced LLM
Predicting protein-protein interactions (PPIs) is essential to comprehend biological processes and illnesses. Conventional machine learning techniques ignore nonphysical linkages made through intermediary proteins in...
Personalized Cancer Care Gets a Boost with NIH’s AI Drug Matching Tool
Suppose there was a world in which your doctor could not just see how large and where your tumor is but also know the...