A team of researchers at The University of Texas at Austin developed a novel algorithm, XVir, that combines deep learning methods and transformers to...
Scientists at King's College London, UK, and collaborators have introduced 'Flow,' an open-access web platform to perform bioinformatics analysis. Flow provides the capability to...
The large-language model (LLM)-based model, ChatGPT, had its clinical decision-making abilities put to the test in a joint study by researchers from Harvard Medical...
A team of researchers has recently developed an Artificial Intelligence (AI) based model for detecting the severity of the disease's progression and its symptoms...
A group of researchers affiliated with Oxford University, UK, have developed a prognostic model backed by the most extensive information set spanning a national,...
A collaborative research effort led by scientists and engineers at the University of Pennsylvania and Northwestern University led to the development of FateMap, a...
In a groundbreaking advancement, researchers from Stanford University have developed a speech brain-computer interface (BCI) that holds significant promise for individuals with paralysis. By...
Faculties of the Mathematics Department at the University of Warsaw, Poland, have presented a review of the past two years progress of Artificial Intelligence...
The sequencing and assembly of the human Y chromosome have been challenging due to its intricate repeat structure, which encompasses lengthy palindromes, tandem repeats,...
The advancement of cryo-electron tomography (cryo-ET) has opened novel avenues for visualizing the intricate structures of dynamic macromolecular assemblies within their natural cellular surroundings....
The University of Toronto researchers have explored the potential of Chemical Language Models (CLMs) to thrive as Biological Learning Models. In contrast to popular...
Understanding cellular responses to genetic changes holds vital importance in various biomedical contexts, such as uncovering cancer-related genetic interactions and advancing regenerative medicine. However,...
Scientists of the DeepTracer project have formulated DeepTracer-refine, an automated pipeline that consolidates the advantages of sequence-to-model and map-to-model strategies, complements their shortcomings, and...
Columbia University and Harvard University researchers have developed OpenFold—a swift, memory-efficient, trainable AlphaFold2 implementation. They aimed to address the shortcomings of the revolutionary AlphaFold2,...
Tufts University researchers have developed MELISSA, a groundbreaking approach for predicting protein functions through protein-protein association networks. Existing methods such as Mashup and deepNF...
Researchers affiliated with the MIT-IBM Watson AI Lab and Harvard Medical School have proposed a hypothesis of Transformer’s core computational schemes in order to...
Researchers from the Children’s Hospital of Philadelphia, Philadelphia, USA, have created a versatile, easy-to-implement, and low-cost novel technique, TEQUILA-seq, for synthesizing large quantities of...
Unstudied areas of life sciences, including uncharacterized or less characterized genes and proteins, have now got an exclusively dedicated repository through the recent works...
Researchers from the University of Hamburg, Germany, in collaboration with researchers from Denmark, Canada, the USA, Spain, Slovakia, and Israel, have designed Drugst.One, a...
Scientists from the National Library of Medicine (NLM), National Institutes of Health (NIH), and University of Maryland, College Park, US, have presented GeneGPT, a...
Infectious diseases have been a persistent challenge to public health despite significant advancements in various scientific disciplines. The emergence of viruses resistant to drugs,...
Scientists from the Chinese Academy of Sciences, China, introduce SONAR, a novel model for cell-type deconvolution from spatial transcriptomics data. This method, termed Spatially...
Researchers from Insilico Medicine designed and devised inClinico to predict Phase-II clinical trial outcomes. The transformer-based artificial intelligence software platform, inClinico, conjugates an ensemble...
USA-based researchers have formulated a supervised deep learning model, ChromaFold, that has achieved state-of-the-art performance in cell-type-specific prediction of 3D contact maps and regulatory...
Traditional drug discovery and development methods are quite expensive, cumbersome, and prone to the biases of experts. A revolution in the field of drug...
Standford researchers have discoursed the critical aspect for the integration of Foundation Models (FM) in the Healthcare system, that is evaluation of the reliability...
uDance, a novel method that builds highly accurate and scalable phylogenetic trees using the divide and conquer approach, has been devised jointly by scientists...
Scientists from Talking Medicine present a comparative analysis of three leading Generative Pre-trained Transformer (GPT) solutions - Drug-GPT™ 3, Drug-GPT™ 4, and ChatGPT -...
To deeply understand how tissues work in healthy and diseased conditions, it is imperative to collect vast amounts of data on individual cells. Such...
Researchers from the University of Pittsburgh, USA, have made a momentous breakthrough in the realm of single-cell sequencing with the creation of IndepthPathway, an innovative...
A new ray of hope for non-invasive cancer detection has emerged. A machine learning algorithm called GEMINI, created by John Hopkins University and Boston...
In groundbreaking research, scientists from Brigham Young University, United States, have developed a cutting-edge deep learning computer model, Kaiko, with the unprecedented capability to...
The key to unlocking genomic secrets is here. Researchers from Northwestern University, in collaboration with Stony Brook University, have developed DNABERT-2, which is a...
Imagine possessing the power to foresee the appearance of hazardous viral strains well in advance of their impact. The scientists at Scripps Research...
Researchers from Leigh University, United States, have developed a novel technique referred to as CHARMM-GUI protein-ligand docking (CGUI-IFD) to overcome the drawbacks associated with...
Molecular mechanics (MM) calculations and molecular dynamics (MD) simulations are powerful tools used in biomolecular research, relying on accurate force fields (FFs) for reliable...
Researchers from Bellvitge Biomedical Research Institute in Spain have designed TALKIEN (crossTALK IntEraction Network), a user-friendly online tool that helps to visualize molecular crosstalk...
Researchers from the Jackson Laboratory for Mammalian Genetics, USA, have built RNA Strain-Match, a quality control tool helpful in matching RNA data to their...
Japanese scientists from the National Institute of Natural Sciences (NINS) and Osaka University have discovered novel protein folds. They created a well-defined set of...
Motivated by the success of the GPT (Generative Pre-trained Transformer) model, researchers from the Southern University of Science and Technology, Tencent AI Lab, Shenzhen,...
Microsoft Researchers from Beijing, China, have introduced an AI-Based ab initio Biomolecular Dynamics System (AI2BMD) for large biomolecule simulation by strategizing protein fragmentation scheme...
CancerGPT, an advanced machine learning model introduced by scientists from the University of Texas and the University of Massachusetts, USA, harnesses the power of...
Scientists from Georgia State University, The University of Texas, and Lawrence Berkeley National Laboratory, USA, built models of transcription factor IIH (TFIIH) using cryo-electron...
Uni-RNA, a context-aware deep learning model developed by DP Technology, Beijing, China researchers, delivers state-of-the-art performance in unwrapping structural, functional, and evolutionary information intercalated...
High-Throughput Sequencing (HTS) has drastically transformed the world of genomics by allowing rapid and accurate detection of genomic variations at the level of individual...
A recent publication in Nature's Communications Medicine has presented the TNBC (Triple Negative Breast Cancer) ICI (Immune Checkpoint Inhibitors) response predictive classifier (TNBC-ICI) integrating...
Scientists from Stanford and Harvard Universities have developed a groundbreaking genomic foundation model called HyenaDNA, which promises to transform the analysis of DNA sequences....
Researchers at the MIT-IBM Watson AI Lab have achieved a significant breakthrough in the field of molecular property prediction. By introducing the Grammar-Induced Geometry...
InstaDeep and BioNTech scientists introduced ChatNT, a multimodal conversational agent that has an advanced understanding of biological sequences like DNA, RNA, and proteins. ChatNT...
An endeavor to create new medicinal compounds that can reach great heights, though challenging, remains vital. The advent of computer tools has led to...
Biological research has been in a golden age ever since the advent of high-throughput technologies. We can now probe deeper into living systems than...
A significant issue in genome research is the Nucleotide Transformer, which makes DNA sequence interpretation accurate only with models such as DNABERT-2. Although these...
The ability to precisely alter genes with CRISPR technology has revolutionized biomedical research. It does, however, take a thorough grasp of CRISPR technology and...
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