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Interface Patterning Based on 4-bit Adhesion Logic

MIT Researchers used Multicellular Interface Patterning Based on 4-bit Adhesion Logic...

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A research team led by the professors at MIT and the University of Arizona has developed an experiment-theory platform for programming bacterial systems to...
Artificial Intelligence Approaches for Personalised Medicine

A Comparative Analysis of Artificial Intelligence Approaches for Personalized Medicine Reveals...

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A study at Rutgers University of dozens of artificial intelligence (AI) software programs used in precision medicine to prevent, diagnose, and treat disease discovered...
Tumor Treating Fields Against Glioblastoma

Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole...

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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...
Genebass for linking rare genetic variants with disease phenotypes

Genebass – A New Online Resource that Links Rare Genetic Variants...

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Researchers at the Broad Institute of MIT and Harvard have developed Genebass, a free online browser that will assist other researchers and clinicians studying...
Graph Neural Network for Cancer Patient's Survival Rate Prediction

Deep Learning Technology Developed by SNU Researchers Helps Predict Cancer Patient’s...

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A research team at Seoul National University (SNU) developed deep learning technology that can more accurately predict a cancer patient's survival rate. According to the...
COVID-19 detection utilizing portable electronic nose GeNose C19

Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out...

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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...
Facial Phenotyping for KBG Syndrome

Facial Phenotyping using Artificial Intelligence and Videoconferencing for KBG Syndrome

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Scientists from The City University of New York present a protocol for collecting and analyzing data for KBG syndrome that emphasizes the use of...
Overview of the workflow implemented in scAmpi for scrna seq analysis

Scientists Developed a Versatile Pipeline ‘scAmpi’ for Single-cell RNA-seq Data Analysis...

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Scientists from the Swiss Institute of Bioinformatics devise a workflow known as Single Cell Analysis mRNA Pipeline, 'scAmpi,' for providing complete functionality to scRNA-seq data...
Machine Learning Algorithm Identifies Tumor Cells at the Single-cell Level

A New Machine Learning Algorithm ‘Ikarus’ Identifies Tumor Cells at the...

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A tumor is a complex tissue of cancerous cells associated with a heterogeneous cellular microenvironment. Using single-cell sequencing, tumor cells can be molecularly characterized....
Analysis of OMICS Data and Signatures of Cellular Perturbations

iLINCS: An Integrative Web-based Platform for Analysis of OMICS Data and...

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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...
Deep learning based cancer prognosis

Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis

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Scientists present an interpretable, loosely guided, multimodal deep learning strategy for cancer prognosis, which also investigates the use of multimodal interpretability to describe how...
ESMFold enables accurate protein structure prediction from a single sequence.

Meta’s AI Protein Structure Prediction Model ‘ESMFold’ Predicts as Accurately and...

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Researchers at Meta AI developed an artificial intelligence (AI) model that can precisely predict entire atomic protein structures from a single sequence of a...
identify promising antibody mutations in deep sequencing datasets

Modeling New Mutational Spaces with Machine Learning

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From cancer and autoimmune diseases to allergies and neurodegenerative diseases, antibody therapeutics are being used to treat human conditions. Molecular properties of antibodies, such...
healthcare medical banner with DNA symbol and wave particles

A Dual-plasmid System Based on Gene Editing Tools Boosts DNA Digital...

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The Chinese Academy of Sciences researchers introduced a dual-plasmid editing system that enhances DNA digital storage. The study strongly encourages the use of DNA-based...
Population Specific Genome Graphs

Scientists from Seven Bridges Genomics Show how Utilizing Population-Specific Genome Graphs...

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Seven Bridges Genomics, USA, scientists demonstrate an approach for iteratively augmenting tailored genome graphs for targeted populations on whole-genome samples of African ancestry.  Due to...
Teixobactin–membrane-interaction

Teixobactin Kills Bacteria by Attacking the Cell Envelope in Two Ways

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The development of new mechanisms for antibiotics is essential to combating antimicrobial resistance. With its unique chemical scaffold, Teixobactin is a new class of...
Scientists Propose a Computational Approach for Predicting HIV Combination Therapy to Prevent Viral Escape and Rebound

Scientists Propose a Computational Approach for Predicting HIV Combination Therapies to...

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Scientists from the University of Washington, the Max Planck Institute for Dynamics and Self-Organization, and the University of Cologne carefully formulated combination therapies from...
Molecular Dynamics Simulations and Diversity Selection by Extended Continuous Similarity Indices

Scientists Recognize Extended Continuous Similarity Indices as a Novel Tool to...

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Scientists from the University of Florida, US, and the Research Centre for Natural Science, Hungary, developed a new frame selection algorithm, "ECS-MeDiv," as an...
Long fibrils of teixobactin (yellow arrows) and lipid II (red-blue dots) lead to weak spots in the cell membrane of the bacterium.

Scientists Discover a Novel Two-step Mechanism the Antibiotic ‘Teixobactin’ uses to...

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The University of Utrecht scientists have uncovered a novel mechanism for how drugs eradicate antibiotic-resistant bacteria. Teixobactin, an antibiotic, kills bacteria by destroying their...
A-workflow-showing-the-steps-performed-in-this-study

Hierarchical Structure-based Virtual Screening Targeting SARS-CoV-2 Endoribonuclease

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Since the first appearance of SARS-CoV-2, a number of in silico methods have been employed to discover possible drugs that can target the viral...
whole-transcriptome RNA sequencing

Unveiling Specific Functions of Novel lncRNA Gm20743 using Whole-transcriptome Landscape of Diabetes-related...

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Scientists perform the whole-transcriptome RNA sequencing and informatics of diabetes-induced sarcopenia model of db/db mice to illustrate the specific function of novel lncRNA Gm20743.  Type...
Virtual reality scenes predicted by human subjects during maze navigation

Decoding Scene Prediction by the Human Brain and its Confidence During...

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Kyoto University scientists have discovered that they can decode from brain activity the subjects' capacities to forecast their placements and scenes within the labyrinth,...
ProtGPT2 -a Deep Unsupervised Language Model for Protein Design

A Deep Unsupervised Language Model ‘ProtGPT2’ for Protein Design

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Scientists from the University of Bayreuth, Germany, introduced ProtGPT2, a language model for protein design trained on the protein space that generates de novo...
Graph Based Visualization and Analysis of High Dimensional Data Using the Platform 'Graphia'

Graph Based Visualization and Analysis of High Dimensional Data Using the...

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Scientists from the University of Edinburgh developed an open-source platform, 'Graphia', for the graph-based visualization and analysis of the high dimensional data being produced...
bacterial microscopy

DeepBacs: A Deep Learning Approach to Analyze Bacterial Microscopy Images

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Scientists from University College London demonstrate the use of various cutting-edge artificial neural networks to analyze images of bacterial microscopy. The approach will help...

SAMchain – A Blockchain Technology for Storing and Analyzing Genomes

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Scientists from Yale University developed a novel private blockchain network by employing layered database indexing for the storage of reference-aligned next-generation sequencing reads and individual...
AlphaFold for predicting protein structure

Deepmind’s AlphaFold Predicted the Structures of all the Proteins Known to...

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The AlphaFold Protein Structure Database, created by DeepMind and EMBL's European Bioinformatics Institute (EMBL-EBI), makes AI-enabled predictions of the 3D structures of nearly all...
digital pathology limits the human effort to a minimum

Scientists Develop Digital Pathology Models without Human Intervention by Integrating Clinical...

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Scientists unleash the potential of digital pathology data by training computer-aided diagnosis models and making use of convolutional neural networks without human annotations. The...
"Zip Codes" Direct RNA Molecules to Reach their Intended Destinations

“Zip Codes” Direct RNA Molecules to Reach their Intended Destinations

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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...
Antibiotic Resistance in Staphylococcus aureus

An ‘Elegant’ Mechanism of Antibiotic Resistance in Golden Staph Revealed by...

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Scientists from the University of New South Wales have discovered a complex system for adaptability in Staphylococcus aureus that has led to the identification and characterization...
The Human Genome Sequences Largest Set Released by the UK Biobank

The UK Biobank Released the Largest Set of Whole Genome Sequences...

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Scientists discuss the study of 150,119 people's whole genomes from the UK Biobank, which is a group of high-quality variants that includes 58,707,036 indels...

Advanced AI in Brain Imaging Captures Dynamic Mental Illness Markers

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In order to better prevent and cure debilitating ailments including Alzheimer's disease, schizophrenia, and autism, new research at Georgia State University's TReNDS Center may...
Biomarkers in sweat tracked by biosensor integrated smart necklace

Scientists Device a Biosensor Integrated ‘Smart Necklace’ to Track Health Status...

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A biosensor integrated smart necklace has been successfully tested by scientists from the Ohio State University and the University of Wisconsin, Madison, that could...
Precision Medicine, cancer, tumor, mutation

AACR Project GENIE – An International Pancancer Project Strengthening Precision Medicine

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The American Association for Cancer Research (AACR) Project GENIE serves as a worldwide precision medicine knowledge base with ever-increasing implications for clinical decision-making as...
Sepsis, AI

AI-Based Early Warning System for Sepsis Prevents Thousands of Deaths

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The new AI-based technology developed by the scientists at Johns Hopkins University recognizes patients susceptible to sepsis, which is otherwise notoriously hard to detect...
SARS-CoV-2 vatiants, bioinformatics technique, Surveillance of SARS-CoV-2 Genomic Variants in Wastewater

Scientists Devised a Bioinformatics Method ‘COJAC’ for Early Detection and Surveillance...

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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...
Repetitive DNA

Replication Stalling and Recovery within Repetitive DNA Plays a Role in...

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Scientists have discovered that repetitive DNA sequences or non-coding DNA, thought to be harmless and inactive, may play a role in the onset of...
SpaceFlow - A Deep Learning Framework to Integrate Spatiotemporal Information in Analyzing Spatial Transcriptomic Data

SpaceFlow – A Deep Learning Framework to Integrate Spatiotemporal Information in...

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Scientists from the University of California Irvine introduced SpaceFlow, which, by the utilization of spatially regularized deep graph networks, combines expression similarity with geographical...
ai algorithms, memory loss

Novel ‘Fuzzy’ AI Algorithms to Help Patients with Memory Loss

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Like our brains, a new computer program created by Parham Aarabi of the University of Toronto can store and retrieve information strategically. An experimental tool...
EquiBind for molecular docking and drug discovery

A Geometric Deep-Learning Model ‘EquiBind’ the Fastest Computational Molecular Docking Model

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MIT researchers have developed a geometric deep-learning model, EquiBind, which is 1,200 times faster than one of the fastest computational molecular docking models currently...
SARS-CoV-2 variants, ACE2, Covid 19 Pandemic

Contact Perturbation Analysis of the SARS-CoV-2 Delta Variant Singular Interface Dynamics

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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,...
ras signaling pathway

A Novel Protein Structure ‘SHOC2-MRAS-PP1C (SMP) Complex’ Offers ways to Target...

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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...
untargeted metabolomics, mass spectrometry data

Untargeted Metabolomics – A Novel Technique for Identifying a Vast Number...

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How much of our body chemistry is related to what we eat can be determined through untargeted metabolomics by comparing blood or stool samples...
amyotrophic lateral sclerosis, target discovery, PandaOmics, Biological Targets

PandaOmics: An AI-Enabled Biological Target Discovery Platform Used to Identify Amyotrophic...

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Scientists use PandaOmics, an AI-driven target identification tool, to examine the expression profiles of direct iPSC-derived motor neurons from Answer Amyotrophic Lateral Sclerosis (ALS)...
Histopathology Markup Language, Cancer

‘HistoML’ – A Markup Language based on Semantic Web Technologies for...

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Scientists from Xi'an Jiaotong University propose the Histopathology Markup Language (HistoML), a representation language with a flexible syntax and extensible structure, along with a...
metal binding site, metalloproteins

Identification of Physiological and Adventitious Metal-Binding Sites in Protein 3D Structures...

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Scientists used a deep learning approach to create a 'Deep Neural Network Classifier' that can distinguish between physiologic and accidental zinc-binding sites in the...
cancer trigger, protein domain, Targeted Drug Therapies

Scientists Identify Cancer Triggers that may Lead to Targeted Drug Therapies...

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The researchers at the Department of Energy's Oak Ridge National Laboratory have convincingly connected the function of a specific domain of proteins vital in...
bacterial, thin film transistor, pathogenic bacteria

AI-Powered Innovative Bacterial Colony Detection System Using a Thin-Film Transistor (TFT)...

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A research team led by Professor Aydogan Ozcan from the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA) and...
COVID-19 Therapy, Pandemic Readiness

The Pandemic Readiness Platform ‘IDentif.AI-x’ for Rapid Prioritization of Effective COVID-19...

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Scientists from the National University of Singapore and DSO National Laboratories, Singapore develop IDentif.AI-x, a pandemic readiness platform powered by artificial intelligence for the...
Retinal biometrics technology

TranSalNet – AI System that Simulates Human Vision Holds Potential Application...

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Scientists at Cardiff University have developed a state-of-the-art artificial intelligence (AI) system, 'TranSalNet,' which precisely anticipates the regions of an image where a person...

Must Read

NovoTags

NovoTags: How AI-Designed Proteins Are Giving Scientists a Sharper View Inside Living Cells

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Imagine trying to identify every resident of a bustling metropolis from a rooftop, at night, with only a handful of flashlights. That's essentially the...
Influenza A Virus Rewires Human Cells

Scientists Reveal How the Influenza A Virus Rewires Human Cells from the Inside

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Every winter, the influenza A virus infects millions of people. In a handful of cells, it manages to do something very hard for scientists...
Meet Robin: A Multi-Agent AI Framework for Scientific Discovery

Meet Robin: A Multi-Agent AI Framework for Scientific Discovery

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A team from the FutureHouse, University of Oxford and Fordham University published a paper in Nature describing something that sounds like science fiction but...
Image Description: Overview of Proto Image Source:

Meet BiOmics: The AI Agent Bridging Data and Biological Meaning

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Biology today produces more data than anyone knows what to do with. Sequencers spit out genomes, single-cell experiments generate massive expression matrices, proteomics platforms...
Mycobacterium tuberculosis Control Switch

Scientists Discover TB’s Metabolic “Control Switch” — A New Target for Tuberculosis Drugs

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The interdisciplinary team, spanning researchers from the University of Surrey, Imperial College London, IISc, and others, discovered Virulence Associated Dikinase (VadK), which evolved from...