Cancer Research

Cancer research through a bioinformatics lens: genomic profiling, biomarkers, tumor biology and computational oncology.

AI | Bioinformatics | Cancer Research | Genomics | News | Paper Summary | Structural Biology | Tools | Trending
IRB Barcelona Unveils Oncodrive3D to Identify Cancer Driver Genes Using 3D Protein Structures
ByDeotima Chakraborty January 25, 2025October 22, 2026
Finding the genes that can cause tumors in various tissues is one of the main objectives of cancer genomics. Computational techniques that use various positive selection signals in the pattern of gene mutations seen in tumors have been created for this goal. One indication of positive selection is the accumulation of mutations in regions of…
Read More IRB Barcelona Unveils Oncodrive3D to Identify Cancer Driver Genes Using 3D Protein Structures
Biotech | Cancer | Cancer Research | Health | News | Trending
Omega-3 and Omega-6 Fatty Acids: New Allies in Cancer Prevention
ByDr. Tamanna Anwar November 16, 2024October 22, 2026
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, adding to their already impressive list of health benefits. The researchers analyzed the data from moreover 250,000 UK Biobank participants to provide convincing evidence for increasing the intake of these essential…
Read More Omega-3 and Omega-6 Fatty Acids: New Allies in Cancer Prevention
AI | Bioinformatics | Cancer | Cancer Research | Disease Diagnosis | News | Paper Summary | Trending
The Power of Foundation Models in Pathology: How Paige’s Virchow is Changing Cancer Detection
ByNeermita Bhattacharya November 14, 2024October 22, 2026
Computational pathology is the evolution of cancer diagnosis into a new era, with the application of artificial intelligence to understand complex histopathology images. Generally, pathologists spend a lot of time diagnosing based on H&E-stained slides. To reduce the efforts required, researchers from Microsoft Research, Memorial Sloan Kettering Cancer Center, NSW Health Pathology, St George Hospital,…
Read More The Power of Foundation Models in Pathology: How Paige’s Virchow is Changing Cancer Detection
AI | Bioinformatics | Cancer Research | News | Paper Summary | Tools | Trending
How Can Synthetic Genomes Revolutionize Cancer Research and Precision Oncology?
ByAnchal Negi October 29, 2024October 22, 2026
Cancer, a complex disease arising from genetic alterations, has been a major global health challenge. Researchers have been able to make considerable progress in their understanding; however, the poor availability of real-world data on the cancer genome has limited the progress. To overcome this loss, a group of researchers at the Ontario Institute of Cancer Research…
Read More How Can Synthetic Genomes Revolutionize Cancer Research and Precision Oncology?
Bioinformatics | Cancer Research | Drug Discovery | News | Paper Summary | Trending
How Scripps Research Is Pioneering New Approaches to Slow Cancer Growth
ByNeermita Bhattacharya September 7, 2024October 22, 2026
To fight cancer, we must stop their metastasis or uncontrolled multiplication. Hence, it is important to understand what proteins these cancer cells need for growth. Precision medicine is supported by our understanding of the genetic makeup of humans, but the genotype-phenotype relationships remain therapeutically unactionable because of less functional assays and tools. In the rapidly…
Read More How Scripps Research Is Pioneering New Approaches to Slow Cancer Growth
Bioinformatics | Cancer Research | Genomics | News | OMICS | Paper Summary | Proteomics | Transcriptomics | Trending
Breaking Down Cancer Genomes: The Innovative Visualization Toolkit GenomeSpy
ByNeermita Bhattacharya August 19, 2024October 22, 2026
Trying to visualize available genomic data is of great interest. Currently, there exists a lot of specialized visualization tools, but most need to be tailored for a certain cause—the cost and labor increase since these applications need extensive programming done by bioinformaticians and software developers. Biological research is awash with large, complex, multilayered datasets that…
Read More Breaking Down Cancer Genomes: The Innovative Visualization Toolkit GenomeSpy
Algorithm | Bioinformatics | Cancer | Cancer Research | Drug Discovery | News | Paper Summary | RNA-Seq | Trending
Uncovering Tumour Heterogeneity: How Single-cell Technologies are Transforming Cancer Treatment and Drug Development
ByDeotima Chakraborty July 15, 2024October 22, 2026
Single-cell technologies are effective drug development and discovery tools, serving important functions at several phases. They aid in identifying potential therapeutic targets, streamline single-cell high-throughput screening, and support pharmacokinetic investigations of anti-tumor medications. New tools for single-cell research combine multiple molecular information, increase the size of data, and characterize the influence of genes on phenotypic…
Read More Uncovering Tumour Heterogeneity: How Single-cell Technologies are Transforming Cancer Treatment and Drug Development
AI | Bioinformatics | Cancer | Cancer Research | Disease Diagnosis | Gene Expression | LLM | News | Paper Summary | RNA | Tools | Trending
BulkRNABert: A New Weapon in the Fight Against Cancer – How AI Reads Genes for Better Prognosis
ByAnchal Negi July 2, 2024October 22, 2026
Recent pioneering research by Université Paris-Saclay and Instadeep scientists has introduced a new technique, BulkRNABert. This method exploits a language model, an artificial intelligence (AI) that understands complex patterns to analyze bulk RNA-sequencing (RNA-seq) data to improve cancer prognosis. By diving into the symphony of gene activity in a tumor, BulkRNABert provides an exciting new…
Read More BulkRNABert: A New Weapon in the Fight Against Cancer – How AI Reads Genes for Better Prognosis
AI | Bioinformatics | Cancer | Cancer Research | Disease Diagnosis | Machine Learning | News | Paper Summary | Trending
Modeling the Perfect Diagnosis with Machine Learning in Ovarian Cancer
ByNeermita Bhattacharya July 1, 2024October 22, 2026
Genes are the basic units of heredity, but they only come to life when translated into proteins. The study of the proteins found in cells and tissues is called proteomics and is largely dependent on Mass Spectroscopy (MS) techniques. Such MS-based proteomics datasets are on the rise, requiring advanced tools to analyze them and uncover…
Read More Modeling the Perfect Diagnosis with Machine Learning in Ovarian Cancer
AI | Bioinformatics | Cancer | Cancer Research | LLM | News | Tools | Trending
AI Tools for Cancer Researchers: Enhancing Productivity and Uncovering New Discoveries
ByNeermita Bhattacharya June 29, 2024October 22, 2026
Artificial intelligence (AI) has become widely accessible, transforming from a specialized resource into a common tool for cancer researchers. It is beneficial for every cancer researcher to understand these tools. In this article, we’ll explore how AI is revolutionizing cancer research as well as some resources reported recently in the Nature Reviews Cancer journal by…
Read More AI Tools for Cancer Researchers: Enhancing Productivity and Uncovering New Discoveries
AI | Bioinformatics | Cancer Research | Machine Learning | News | Paper Summary | Precision Medicine | RNA-Seq
Personalized Cancer Care Gets a Boost with NIH’s AI Drug Matching Tool
ByAnchal Negi May 1, 2024October 22, 2026
Suppose there was a world in which your doctor could not just see how large and where your tumor is but also know the language spoken by its cells. What if instead of just seeing how big or where it is, your physician could hear this orchestra of gene activity? This symphony would predict how…
Read More Personalized Cancer Care Gets a Boost with NIH’s AI Drug Matching Tool
AI | Bioinformatics | Cancer Research | LLM | News | RNA-Seq | Tools | Trending
Revolutionizing Cell Type Annotation: GPT-4’s Breakthrough in scRNA-seq Analysis
ByDr. Tamanna Anwar March 26, 2024October 22, 2026
Single-cell RNA sequencing (scRNA-seq), a rapidly developing field of RNA sequencing of single cells, has recently made a breakthrough that could revolutionize cell type annotation. Using GPT-4’s powerful language model, Columbia University Mailman School of Public Health and Duke University School of Medicine researchers have demonstrated that cell types can be accurately annotated based on…
Read More Revolutionizing Cell Type Annotation: GPT-4’s Breakthrough in scRNA-seq Analysis
AI | Bioinformatics | Cancer Research | News | Paper Summary | Trending
Prostate Cancer: Beyond One Disease? AI Uncovers Hidden Diversity
ByAnchal Negi March 13, 2024October 22, 2026
Prostate cancer remains a significant health threat for men globally. The development of cancer is an evolutionary process involving the sequential acquisition of genetic alterations that disrupt normal biological processes, enabling tumor cells to proliferate and ultimately invade and metastasize to other tissues rapidly. New research sheds light on how a prostate cancer diagnosis can…
Read More Prostate Cancer: Beyond One Disease? AI Uncovers Hidden Diversity
AI | Bioinformatics | Cancer Research | Genomics | Neural Network | News | Paper Summary | Precision Medicine | Trending
Beyond One-Size-Fits-All: Moffitt Unveils First Individualized Predictive Model for the Treatment of Multiple Myeloma
ByDeotima Chakraborty February 15, 2024October 22, 2026
Patients with recently diagnosed non-differentiated multiple myeloma (NDMM) have a wide range of outcomes, with overall survival (OS) spanning from several months to more than ten years. In this work, the researchers gathered a significant training set and a validation set of NDMM patients with clinical, demographic, genomic, and treatment data for the construction of…
Read More Beyond One-Size-Fits-All: Moffitt Unveils First Individualized Predictive Model for the Treatment of Multiple Myeloma
AI | Bioinformatics | Cancer Research | LLM | News | Paper Summary | Trending
reguloGPT Unleashed: GPT-Powered Knowledge Graphs Illuminate Molecular Regulatory Pathways
ByDeotima Chakraborty February 7, 2024October 22, 2026
Understanding biological processes and offering organized representations of intricate relationships are made possible by Knowledge Graphs, or KGs. However, the resources available today to mine KGs from biomedical literature are insufficient. Though they present a promising approach, large language models (LLMs) like GPT-4 have not yet been fully investigated in terms of their potential for…
Read More reguloGPT Unleashed: GPT-Powered Knowledge Graphs Illuminate Molecular Regulatory Pathways
AI | Bioinformatics | Cancer Research | News | Paper Summary | Structural Biology | Trending
Cleveland Clinic and IBM’s Blueprint for Discovering Novel Immunotherapy Targets Using Artificial Intelligence
ByAnchal Negi January 25, 2024October 22, 2026
Predicting the immunogenicity of peptide antigens attached to major histocompatibility complex (MHC) molecules is critical for developing new immunotherapies and better understanding human immune responses. While existing techniques rely on simple sequence representations, they neglect the complex chemical mechanisms that drive peptide recognition. Researchers from Cleveland Clinic and IBM collaborated to create supervised and unsupervised…
Read More Cleveland Clinic and IBM’s Blueprint for Discovering Novel Immunotherapy Targets Using Artificial Intelligence
AI | Big Data | Bioinformatics | Cancer Research | Disease Diagnosis | Health | Neural Network | News | Paper Summary | Trending
MIT Introduces PRISM: Advancing Early Detection of Lethal Pancreatic Cancer with AI-Driven Risk Prediction Models
ByAnchal Negi January 22, 2024October 22, 2026
Pancreatic ductal adenocarcinoma (PDAC) is an extremely aggressive cancer with a poor prognosis, owing mostly to late diagnosis. Expanding screening beyond the 10% now eligible due to genetic susceptibility is critical for early detection and enhanced survival. MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) scientists, alongside Limor Appelbaum, a staff scientist in the Department…
Read More MIT Introduces PRISM: Advancing Early Detection of Lethal Pancreatic Cancer with AI-Driven Risk Prediction Models
Bioinformatics | Cancer | Cancer Research | News | Paper Summary | Proteomics | Structural Biology | Trending
The Glue that Heals: St. Jude’s Researchers Unveil Molecular ‘Super-Glue’ Propelling Innovative Cancer Drug Development
ByAnchal Negi January 20, 2024January 21, 2024
Scientists at St. Jude Children’s Research Hospital have published their findings on SJ3149, a chemical with broad efficacy against various cancer types, particularly acute myeloid leukemia (AML). Scientists worked together to discover and improve a chemical molecule that functions as a molecular “super-glue” for a variety of tumors. SJ3149 binds to cancer-related protein casein kinase…
Read More The Glue that Heals: St. Jude’s Researchers Unveil Molecular ‘Super-Glue’ Propelling Innovative Cancer Drug Development
Bioinformatics | Cancer | Cancer Research | CRISPR | Drug Discovery | News | Paper Summary | Precision Medicine | Trending
Mapping Cancer’s Weaknesses: A Comprehensive Map of Cancer Cell Dependencies Accelerates Drug Discovery
ByAnchal Negi January 18, 2024October 22, 2026
Cancer, a simple name for a complicated group of diseases, has long perplexed scientists and healthcare professionals alike. Despite years of research and medical advances, individualized therapy remains elusive. However, a recent study using multi-omics data is bringing us closer to understanding cancer’s weaknesses and maybe opening up new therapeutic options. By integrating diverse datasets…
Read More Mapping Cancer’s Weaknesses: A Comprehensive Map of Cancer Cell Dependencies Accelerates Drug Discovery
Bioinformatics | Cancer Research | Genomics | News | Paper Summary | Precision Medicine | Trending
Integrating Genomic and Clinical Data from the 100,000 Genomes Cancer Program Paves the Way for Precision Oncology
ByDeotima Chakraborty January 16, 2024January 27, 2024
In order to establish standardized high-throughput whole-genome sequencing (WGS) for patients with cancer and rare diseases, the UK Government launched the groundbreaking 100,000 Genomes Project within the National Health Service (NHS) in England. This was accomplished through the use of an automated bioinformatics pipeline accredited by the International Organisation for Standardisation. Operating in conjunction with…
Read More Integrating Genomic and Clinical Data from the 100,000 Genomes Cancer Program Paves the Way for Precision Oncology
AI | Bioinformatics | Cancer Research | Drug Discovery | Genomics | News
Bridging Gaps in Drug Discovery: Allosteric Atlases Illuminate Therapeutic Avenues in KRAS Oncogene Inhibition
ByDeotima Chakraborty January 3, 2024January 4, 2024
Many proteins are regarded as “undruggable” because of their activity through protein-protein interactions, despite the fact that they have been discovered as therapeutic targets in human diseases. A thorough allosteric map for proteins like KRAS, which is mutated in one out of every ten human malignancies, is required to address this. The goal of this…
Read More Bridging Gaps in Drug Discovery: Allosteric Atlases Illuminate Therapeutic Avenues in KRAS Oncogene Inhibition
AI | Bioinformatics | Cancer Research | Neural Network | News | NGS | Paper Summary | Trending
Fast-tracking CNS Tumor Diagnosis: New AI System ‘Sturgeon’ Accurately Diagnoses Brain Tumors in Minutes
BySonal Keni October 17, 2023October 17, 2023
Tumors that affect the central nervous system are among the most fatal kinds of cancer, especially in pediatric cases. Surgical removal of the tumor is usually the prescribed course of action, made harder by the fact that the surgeons performing the procedure will not be able to determine the kind of tumor they’re dealing with…
Read More Fast-tracking CNS Tumor Diagnosis: New AI System ‘Sturgeon’ Accurately Diagnoses Brain Tumors in Minutes
AI | Bioinformatics | Cancer | Cancer Research | Disease Diagnosis | Health | Machine Learning | News | Paper Summary | Trending
Oxford Researchers Develop a Machine Learning Model to Predict 10-Year Breast Cancer Mortality Risk
ByAditi Sarkar August 30, 2023September 2, 2023
A group of researchers affiliated with Oxford University, UK, have developed a prognostic model backed by the most extensive information set spanning a national, population-representative, and linked electronic healthcare record data set of over 11·6 million female individuals of 20–90 years of age for clinical prediction of females who are at high risk of developing…
Read More Oxford Researchers Develop a Machine Learning Model to Predict 10-Year Breast Cancer Mortality Risk
Bioinformatics | Cancer | Cancer Research | Cell | News | Paper Summary | RNA-Seq | Sequencing | Systems Biology
Meet FateMap: A Barcoding Approach to Decode Why Certain Cells Resist Anti-Cancer Therapies
BySwasti Tyagi August 29, 2023December 4, 2023
A collaborative research effort led by scientists and engineers at the University of Pennsylvania and Northwestern University led to the development of FateMap, a framework that combines DNA barcoding, single-cell RNA sequencing (scRNA-seq), and computational analysis to study the ‘fate’ or outcomes after exposing cancer cells to therapeutic drugs. It has been found that even…
Read More Meet FateMap: A Barcoding Approach to Decode Why Certain Cells Resist Anti-Cancer Therapies
AI | Bioinformatics | Cancer | Cancer Research | News | Paper Summary | Trending
Meet TALKIEN: A New Tool to Decipher Molecular Crosstalk Through Ligand-Receptor Interactions in Cancer
ByNeegar Naushaba Iqbal July 22, 2023July 22, 2023
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 or communication at the cellular level by constructing and analyzing ligand-receptor interaction network (LRIN). Understanding cellular communication is crucial for understanding cancer growth and therapy response. With the ability to perform…
Read More Meet TALKIEN: A New Tool to Decipher Molecular Crosstalk Through Ligand-Receptor Interactions in Cancer
AI | Bioinformatics | Cancer Research | Drug Discovery | Machine Learning | News | Paper Summary | Precision Medicine | Trending
Predicting Immunotherapy Response: Construction and Validation of a Machine Learning-Based Gene Expression Classifier for Primary Triple-Negative Breast Cancer
ByAditi Sarkar July 13, 2023July 13, 2023
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 gene expression profiles of TNBC specimens and artificial intelligence, which has demonstrated a significant performance in identifying TNBC patients who would potentially achieve pCR (Pathological Complete Response) to the chemotherapy treatment…
Read More Predicting Immunotherapy Response: Construction and Validation of a Machine Learning-Based Gene Expression Classifier for Primary Triple-Negative Breast Cancer
Bioinformatics | Cancer Research | Disease Diagnosis | Genomics | News | Proteomics | Trending
Exploring Molecular Alterations in Cancer with cProSite: A Web-based Tool for Genomics, Proteomics, and Phosphoproteomics Data Analysis
ByDr. Tamanna Anwar June 19, 2023October 22, 2026
Large-scale proteome and genomic investigations play a crucial role in understanding the molecular causes of cancer. The National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) has developed an invaluable resource of data, cProSite (Cancer Proteogenomic Data Analysis Site), a user-friendly website designed for biologists and clinicians, offering online analysis of genomics, proteomics, and phosphoproteomics using CPTAC…
Read More Exploring Molecular Alterations in Cancer with cProSite: A Web-based Tool for Genomics, Proteomics, and Phosphoproteomics Data Analysis
Big Data | Bioinformatics | Cancer Research | Drug Discovery | News | Paper Summary | Tools | Trending
Meet IRIS: The Innovative Computational Tool for Identifying De Novo Cancer Immunotherapy Targets from pre-mRNA Alternative Splicing
ByBanhita Maitra May 23, 2023December 21, 2023
Scientists from CHOP, Philadelphia, and UCLA have developed an integrated computational workflow to discover novel cancer immunotherapy targets from pre-mRNA alternative splicing (AS). The prevalence of alternate splicing across different cancers is wide, yet the vast repertoire of cancer immunotherapy targets remains unexplored. IRIS has been developed to identify AS-derived tumor antigens (TAs) for T…
Read More Meet IRIS: The Innovative Computational Tool for Identifying De Novo Cancer Immunotherapy Targets from pre-mRNA Alternative Splicing
Bioinformatics | Cancer Research | News | Trending
Jumping Genes Could Transform Cancer Treatment with Innovative Immunotherapies
ByDr. Tamanna Anwar May 15, 2023December 12, 2023
The genetic mechanisms underlying cancer have been the focus of research by scientists and medical professionals worldwide. The human genome has undergone random insertions of small DNA fragments known as “jumping genes” during the history of evolution. Transposable elements, another name for these specific DNA pieces, have been linked to the development and spread of…
Read More Jumping Genes Could Transform Cancer Treatment with Innovative Immunotherapies
AI | Bioinformatics | Cancer Research | COVID-19 | News | Structural Biology | Trending
AI-Driven 3D Modeling Sheds Light on ‘Postal Workers’ within Human Cells
ByDr. Tamanna Anwar May 14, 2023January 5, 2024
Artificial intelligence (AI) and cellular biology have combined to change several sectors, including the mapping and monitoring of cellular activity within the human body, as technology continues to improve at an unprecedented rate. In a quest for a deeper understanding of conditions such as dementia and infectious diseases like COVID-19, scientists at IMB applied artificial…
Read More AI-Driven 3D Modeling Sheds Light on ‘Postal Workers’ within Human Cells
Bioinformatics | Cancer Research | Disease Diagnosis | Medical Informatics | News | Trending
Meet Trumpet: The Biocomputing Platform Set to Transform Medicine
ByDr. Tamanna Anwar May 12, 2023May 12, 2023
The emerging field of biocomputing holds immense promise for transforming both the realms of computing and medicine. With its potential applications ranging from early detection and treatment of diseases to futuristic enhancements of human memory, biocomputing represents a groundbreaking avenue for medical research. However, conventional computer hardware has certain limitations when it comes to interacting…
Read More Meet Trumpet: The Biocomputing Platform Set to Transform Medicine
Bioinformatics | Cancer Research | Drug Discovery | News | NGS | Paper Summary | RNA-Seq | Trending
Discover How Single-cell RNA Sequencing is Transforming the Drug Discovery and Development Landscape
BySipra Das May 8, 2023May 8, 2023
The primary objective of modern proteomics studies is to analyze and isolate the proteome of individual cells from a pool of similar cells. Existing techniques like RNA sequencing, microarrays, quantitative PCR, and reverse transcription-PCR (qRT-PCR) are designed to analyze RNA in a population of cells in general. These techniques fail to quantify phenotypically different individual…
Read More Discover How Single-cell RNA Sequencing is Transforming the Drug Discovery and Development Landscape
Bioinformatics | Cancer Research | News | Paper Summary | Precision Medicine | Transcriptomics | Trending
New Insights into the Etiologies of Early-Onset Colorectal Cancer Through an Integrative Multi-Omics Study
ByDiyan Jain April 26, 2023February 3, 2024
There is a growing number of incidences of colorectal cancer in people under the age of 50 (EOCRC), but the intrinsic molecular mechanisms underpinning it are not very well understood. A recent study was conducted on 79 CRC patients of Chinese ancestry to understand the differences in the omics of EOCRC compared to general CRC….
Read More New Insights into the Etiologies of Early-Onset Colorectal Cancer Through an Integrative Multi-Omics Study
AI | Bioinformatics | Cancer Research | Health | News | Paper Summary | Trending
Single-cell Based AI Pathologist for Rapid Physical Phenotyping of Cancer Biopsies
ByBanhita Maitra April 12, 2023April 12, 2023
Scientists from the Max Planck Institute for the Science of Light, Germany, have developed a novel methodology for rapid pathological analysis of cells from cancerous tissue samples using artificial intelligence and a single-cell approach. This methodology is capable of generating tumor biopsy analysis results in as early as 30 minutes, enabling intra-operative consultation pathology, which…
Read More Single-cell Based AI Pathologist for Rapid Physical Phenotyping of Cancer Biopsies
Bioinformatics | Cancer Research | Drug Discovery | News | Paper Summary | Sequencing | Trending
Efficiently Identifying Bispecific Antibodies using High Throughput Single-cell BsAb Discovery Pipeline
ByDiyan Jain April 11, 2023January 18, 2024
Bispecific antibodies (BsAbs) are an emerging type of immunotherapy and have great potential to treat various diseases. Recently, researchers have developed a novel single-cell platform that can efficiently discover rare BsAb clones with unique and desirable properties that would otherwise be close to impossible to discover using other existing conventional low-throughput, biased, and trial-and-error methods….
Read More Efficiently Identifying Bispecific Antibodies using High Throughput Single-cell BsAb Discovery Pipeline
AI | Bioinformatics | Cancer Research | Computational Models | Disease Diagnosis | Machine Learning | News | Paper Summary | Trending
Researchers Offer an Innovative Single Test-Based Approach for Early Stage Cancer Diagnosis using Exosomes, SERS Technology, and AI
ByDiyan Jain April 1, 2023April 1, 2023
Conventionally, cancer diagnostic procedures have been known for their invasive nature and enormous cost. However, researchers from KAIST and Korea University have developed a novel diagnostic approach that combines AI and innovative technology for an affordable, accessible, and non-invasive diagnosis of multiple types of cancer at an early stage under high resolution. In the study,…
Read More Researchers Offer an Innovative Single Test-Based Approach for Early Stage Cancer Diagnosis using Exosomes, SERS Technology, and AI
Bioinformatics | Cancer Research | Machine Learning | News | Paper Summary | Structural Biology | Trending
LLNL Scientists Introduce Cutting-edge Theoretical Model for More Efficient Simulations of Cancer-linked Protein Interactions
ByBanhita Maitra March 31, 2023June 14, 2023
Lawrence Livermore National Laboratory, California’s scientists have developed a theoretical model based on Dynamic Density Functional Theory (DDFT) for modeling multicomponent cellular membranes as a continuum. The cellular membranes considered are composed of an arbitrary number of lipid types, and the continuum model for the cellular membranes is trained on molecular dynamics (MD) simulations. Within…
Read More LLNL Scientists Introduce Cutting-edge Theoretical Model for More Efficient Simulations of Cancer-linked Protein Interactions
Algorithm | Bioinformatics | Cancer Research | Deep Learning | News | Paper Summary | Trending
Evaluating the Efficacy of Deep Learning Algorithms for Predicting Drug Synergy in Cancer Treatment
BySejal Saxena March 30, 2023March 30, 2023
Cancer therapies often become ineffective due to the development of resistance in the tumor cells against the treatment. One potential strategy to overcome this resistance was treating the patients with a combination of drugs. Scientists conducted a study to improve cancer treatment by developing deep-learning models for drug synergy prediction. The models were designed to…
Read More Evaluating the Efficacy of Deep Learning Algorithms for Predicting Drug Synergy in Cancer Treatment
Bioinformatics | Cancer Research | Computational Models | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending
Penn Scientists Introduce ‘PocketMiner’ for Predicting Cryptic Pockets in Proteins and Expanding the Druggable Proteome
BySejal Saxena March 27, 2023October 22, 2026
The discovery of cryptic pockets has widened the scope of drug development by permitting the targeting of proteins previously deemed undruggable due to the absence of pockets in their ground-state structures. However, detecting cryptic pockets takes a significant amount of time and effort. PocketMiner is a machine learning tool built by researchers from the University…
Read More Penn Scientists Introduce ‘PocketMiner’ for Predicting Cryptic Pockets in Proteins and Expanding the Druggable Proteome
AI | Bioinformatics | Cancer Research | Disease Diagnosis | Machine Learning | News | Paper Summary | Transcriptomics | Trending
Machine Learning-aided Multiscale Transcriptomics Results in Pediatric Cancer Atlas for Diagnostic Classification
ByBanhita Maitra March 24, 2023March 24, 2023
Scientists from The Hospital for Sick Children, Toronto, have developed an atlas for childhood cancer diagnostic classification using machine learning approaches. Pediatric cancers are one of the leading causes of mortality in children worldwide. However, there is no comprehensive molecular assay for pediatric cancer diagnosis and classification. Currently available transcriptome-based diagnostic tools are based on…
Read More Machine Learning-aided Multiscale Transcriptomics Results in Pediatric Cancer Atlas for Diagnostic Classification
AI | Bioinformatics | Cancer Research | Deep Learning | Health | Neural Network | News | Paper Summary | Precision Medicine | Trending
The Future of Cancer Care: Explainable AI Detects Diagnostic Cells of Genetic AML Subtypes
ByBanhita Maitra March 19, 2023March 19, 2023
Scientists from Germany have developed SCEMILA, an inherently explainable AI tool for identifying diagnostic cells of acute myeloid leukemia (AML) subtypes. The authors find that the high-attention cells identified by SCEMILA coincide with cells labeled as diagnostically relevant by human experts. The model is trained based on single white blood cell images from digitized blood…
Read More The Future of Cancer Care: Explainable AI Detects Diagnostic Cells of Genetic AML Subtypes
Cancer Research | Chemoinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Trending
Bridging the Gap between Cheminformatics and Machine Learning to Investigate Androgen Receptor Antagonists in the Fight Against Prostate Cancer
ByBanhita Maitra March 14, 2023October 22, 2026
Researchers from Thailand perform a systematic cheminformatics analysis and machine learning modeling to study how human Androgen Receptors (AR) antagonists combat Prostate cancer, one of the leading causes of death in male cancer patients. Androgen receptor signaling drives the growth and prostate cancer progression. The authors perform the study on human AR antagonists from the…
Read More Bridging the Gap between Cheminformatics and Machine Learning to Investigate Androgen Receptor Antagonists in the Fight Against Prostate Cancer
Bioinformatics | Cancer Research | COVID-19 | Covid-19 News | Drug Discovery | News | Precision Medicine | RNA-Seq | Trending
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
Bioinformatics | Cancer Research | Drug Discovery | Paper Summary | Trending
From healthy cell to cancerous growth: the alarming role of “poisoned” proteins in tumor formation
ByDr. Tamanna Anwar February 21, 2023October 22, 2026
Researchers from Scripps Research and Japan have discovered how a protein’s “poisoned” form can set off a chain of events promoting specific cancers’ growth. The research findings were published in Nature Communications. A potential drug that could return the protein to its original state was developed as a result of this study. The drug significantly…
Read More From healthy cell to cancerous growth: the alarming role of “poisoned” proteins in tumor formation
Bioinformatics | Cancer Research | Cell | News | Paper Summary | Trending
Unlocking the Mystery of Cancer Cell Movement: Logic Gates Provide Answers
ByBanhita Maitra February 17, 2023February 17, 2023
Scientists from Purdue University unravel cell migration direction under the influence of environmental cues using a ternary logic gate system. Cells detect several environmental cues and process intracellular signals to determine the direction of migration. Cell migration is involved in various physiological mechanisms as well as pathological processes. Signaling pathways and molecules involved in directed…
Read More Unlocking the Mystery of Cancer Cell Movement: Logic Gates Provide Answers
Bioinformatics | Cancer Research | Drug Discovery | News | NGS | OMICS | Proteomics
New Hope in the Fight Against Cancer: Scientists Discover Nutrient that Cancer Cells Crave
ByDr. Tamanna Anwar February 4, 2023October 22, 2026
Cancer is one of the prominent causes of death globally, and discovering new methods to prevent and cure it is important for public health. Understanding the particular nutrients that cancer cells require is one of the strategies researchers are investigating to fight the disease. Arginine is one of the important amino acids produced by our…
Read More New Hope in the Fight Against Cancer: Scientists Discover Nutrient that Cancer Cells Crave
Bioinformatics | Cancer Research | Machine Learning | News | Paper Summary | Precision Medicine | Trending
Machine Learning in Oncology: A Tabular Machine Learning Approach to Pan-cancer Tumor-only Variant Calling
BySejal Saxena January 29, 2023January 16, 2024
Accurately identifying somatic mutations and differentiating them from germline variations is critical for precision oncology and precise tumor-mutational burden (TMB) computation. For this purpose, three trained machine-learning models, TabNet, XGBoost, and LightGBM, were utilized, and state-of-the-art performance was achieved, with concordance between matched-normal and tumor-only TMB improving from R2=0.006 to R2=0.73. The racial biases in…
Read More Machine Learning in Oncology: A Tabular Machine Learning Approach to Pan-cancer Tumor-only Variant Calling
AI | Bioinformatics | Cancer Research | Computational Models | Deep Learning | News | Precision Medicine | Trending
Revolutionizing Healthcare: Federated Learning Deployed Across Hospitals to Train Deep Learning Models Securely
ByDr. Tamanna Anwar January 21, 2023January 21, 2023
Owkin, an AI biotech company, has successfully used federated learning (FL) for the first time to train deep learning models on histopathology data from multiple hospitals without the need for the data to be transferred outside of hospital security systems. This groundbreaking achievement was reported in a study published in Nature Medicine. The unveiling of this…
Read More Revolutionizing Healthcare: Federated Learning Deployed Across Hospitals to Train Deep Learning Models Securely
AI | Algorithm | Bioinformatics | Cancer Research | Chronic Diseases | Deep Learning | Disease Diagnosis | Documentaries | Neural Network | News | Precision Medicine | Trending
Deep Learning and Radiomics: A Game-changer for Identifying Glioblastoma and Brain Metastases
ByDr. Tamanna Anwar January 20, 2023January 20, 2023
According to a recent study from Karl Landsteiner University of Health Sciences (KL Krems), using radiomics and deep learning algorithms can quickly and accurately distinguish between glioblastoma (primary tumors) and brain metastases. The study, which was published in Metabolites, discovered that magnetic resonance-based radiological data of tumor oxygen metabolism provide a solid foundation for discrimination via…
Read More Deep Learning and Radiomics: A Game-changer for Identifying Glioblastoma and Brain Metastases
Bioinformatics | Cancer Research | Drug Discovery | News | Tools | Trending
Discovering the Secrets of the Human Kinome: An Atlas of Substrate Specificities for Serine/Threonine Kinases
ByDr. Tamanna Anwar January 17, 2023October 22, 2026
Researchers from MIT have created a comprehensive map of over 300 protein kinases and their targets, with the goal of potentially discovering new cancer treatments. Protein kinases are a vital class of enzymes that play a crucial role in the human body. These signaling molecules control a wide range of cellular activities, including growth, cell…
Read More Discovering the Secrets of the Human Kinome: An Atlas of Substrate Specificities for Serine/Threonine Kinases

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