ENGLISH
KOREANEmbrace the Future of Healthcare with AI/ML
At 3BIGS, where we offer cutting-edge AI/ML integrated solutions that redefine possibilities in healthcare. Our expertise spans drug repurposing, imaging diagnosis, clinical trial analytics, disease biomarker prediction, multi-omics data analysis, epitope prediction, and more. Our innovative AI/ML technology, supported by multi-omics and big data analytics provides data-driven insights that transform patient care and enhance clinical trial success.
Expertise That Makes a Difference
ML-Powered Drug Repurposing for a Healthier Tomorrow
Our prowess lies in the groundbreaking technique of drug repurposing – a methodology that holds immense potential in combating challenging diseases. Our team of experts, armed with cutting-edge machine learning algorithms, redefines drug discovery by identifying novel therapeutic uses for existing drugs. This approach dramatically reduces the time frame and failure rate associated with drug development, leading to better treatment options for patients.
Accelerate Drug Discovery: Reduce the time frame and failure rate of drug development by repurposing existing drugs.
Expand Treatment Options: Identify new therapeutic uses for drugs, providing better alternatives for challenging diseases.
Cost and Time Efficiency: Revolutionize drug development with faster, cost-effective solutions.
ML-based Medical Image Classification
3BIGS utilizes the cutting-edge machine learning models to detect disease in medical imaging such as ultrasound, histopathology, X-ray and CT/MRI radiology images with remarkable accuracy. Our deep learning algorithms can classify a range of diseases. Using relevant feature selection and deep learning algorithms, we can classify images with remarkable precision and accuracy for breast cancer (benign, malignant and its subtypes), lung cancer (normal, benign malignant), including pneumonia detection from chest X-ray images and even diabetic retinopathy and its severity.
With the 3BIGS deep learning approaches, we’re revolutionizing the way doctors and medical professionals can diagnose and treat their patients.
Precise Disease Diagnosis: Detect diseases in medical images with exceptional accuracy, including breast cancer, lung cancer, and more.
Personalized Treatment: Enable tailored treatment strategies based on accurate image analysis.
Enhance Medical Decision-Making: Empower doctors with advanced insights for quicker and accurate diagnoses.
AI-Driven Clinical Insights
We’re revolutionizing the way clinical trials are conducted by utilizing a state-of-the-art machine learning algorithm to predict their success. But what if we could predict the success of clinical trials before they even begin? By analysing data from clinicaltrials.gov and past trial results, our model can determine the potential outcome of a new or ongoing trial with remarkable accuracy.
We offer cutting-edge ML models that allow you to refine your clinical studies’ design to enhance its success. Our algorithms are developed and optimized to make quick, accurate, and more reliable predictions to accelerate clinical trials-based decision-making.
The 3BIGS ML models are capable of pattern recognition based data transformation from drugs, demographics,inclusion exclusion criteria, primary and secondary outcome. In addition, our models can help you in patient stratification and predict disease conditions based on the features derived from various techniques, as per your requirement.
Revolutionize Clinical Trials: Predict trial success before they begin, refining design and outcomes.
Reduce Failure Rates: Minimize trial failures and resource wastage by accurate outcome prediction.
Accelerate Decision-Making: Make data-driven decisions for efficient clinical trial management.
ML for Histopathology
3BIGS recognizes the importance of employing efficient ML/DL models for the analysis of medical as well as histopathological imaging, which is unique by nature. We have the trained ML models that are achieved with good accuracy and precision to analyze images for diagnosis and prognosis for various diseases: breast cancer, lung cancer, and diabetic retinopathy.
The 3BIGS ML models are capable of predicting benign and malignant cancer subtypes since multi- classification is a major challenge in the clinical diagnostic decision making systems.
Enhance Cancer Diagnosis: Predict benign and malignant cancer subtypes with unprecedented accuracy.
Fast-track Diagnostic Decisions: Streamline pathologists’ efforts with advanced image analysis.
Transform Diagnostic Accuracy: Improve patient outcomes through precise diagnostic insights.
Decoding Genes with ML
Disease biomarker genes are of utmost importance in the disease classification and diagnosis as they help in drug treatment and treatment strategy. We at 3BIGS understand the necessity of discovering novel gene biomarkers to minimize the treatment failure and patient-specific treatment planning. Our ML models are based on the multiple and diverse gene expression data available from public GEO datasets.
The 3BIGS ML models are capable of predicting novel gene biomarkers since the traditional differential gene expression analysis is not capable of giving inference from the multiple heterogeneous datasets.
Optimize Treatment Strategies: Discover novel gene biomarkers for improved disease classification and patient-specific treatments.
Minimize Treatment Failure: Enhance the success of treatments by identifying crucial gene biomarkers.
Advance Precision Medicine: Transform the landscape of personalized medicine with targeted gene-based therapies.
ML-based Microbiome Biomarker Prediction
Disease microbiome biomarkers are of utmost importance in early disease diagnosis and detection as they help in drug selection and treatment strategy. We at 3BIGS understand the necessity of discovering novel gut microbiome biomarkers to minimize the treatment failure and patient-specific treatment planning. Our ML models are based on the multiple and diverse data from various public datasets such as Human Microbiome Project (HMP) and METAgenomics of Human Intestinal Tract (METAHIT).
The 3BIGS ML models are capable of predicting microbiome based disease biomarkers for metabolism diseases like diabetes, inflammatory bowel syndrome, ulcerative colitis and Crohn’s disease including psychiatric illnesses like anxiety, depression etc. which is a major challenge in early disease diagnosis.
Early Disease Detection: Predict microbiome-based disease biomarkers for early diagnosis and treatment.
Targeted Treatment Strategies: Develop personalized treatment approaches based on gut microbiome analysis.
Expand Diagnostic Frontiers: Identify biomarkers for metabolic and psychiatric diseases.
Transform Healthcare with AI-Driven EHR Analytics
Based on hospital in-patient and out-patient health care records such as demographics, diagnostic codes, procedures, laboratory tests and medication data, we input various above parameters encoded representation and train these features using deep learning model to predict patient’s benefit or risk analysis.
The 3BIGS ML models are capable of predicting the patient’s risk and help in developing the patient-specific therapy and planning which is a major revolution in transforming traditional treatment strategy.
Patient-Centric Approach: Predict patient health risks and benefits for tailored healthcare planning.
Transform Treatment Strategy: Develop patient-specific therapy plans for optimal outcomes.
Efficient Risk Analysis: Enhance patient safety and care by evaluating health records.
ML-based T-cell/B-cell Epitope Prediction
T-cell/B-cell epitope prediction are of utmost importance in the development of mRNA vaccines as they help in preventing viral diseases. We at 3BIGS understand the necessity of discovering novel epitopes and in addition our ML models predict in silico affinity, toxicity, allogenicity, major histocompatibility complex (MHC) Class I/II binding, allergenicity, and human leukocyte antigens (HLA) typing. Our ML models are trained based on the public IEDB/iBCE-EL datasets.
The 3BIGS ML models are capable of predicting epitopes for vaccine development since traditional approaches have failed in developing the mRNA vaccines which is a major challenge in the biologics development.
Empower Vaccine Development: Predict viral disease epitopes for effective mRNA vaccine design.
Enhance Immune Response: Develop targeted vaccines for improved disease prevention.
Advance Biologics Research: Overcome vaccine development challenges with accurate predictions.
ML-based Anticancer and Antimicrobial Prediction
Anticancer / antimicrobial peptide prediction are of utmost importance in the development of cancer drugs and antibiotic drugs as they help in developing tissue-specific as well as pathogen-specific drugs. We at 3BIGS understand the necessity of discovering novel peptides and in addition our ML models predict tissue specific small peptides accurately. Our ML models are trained based on the publicly available APD3 and CancerPPD datasets.
The 3BIGS ML models are capable of predicting the drug resistant anticancer and antibiotic drugs since drug resistance is a major challenge in the antibiotics treatment.
Tailored Drug Development: Predict tissue-specific and pathogen-specific drugs for cancer and infections.
Combat Drug Resistance: Address drug resistance challenges with accurate predictions.
Enhance Treatment Efficacy: Develop novel treatments with higher success rates.
Predicting Drug Resistance with ML-Based Models
Repurposable drug prediction is of utmost importance as they help in faster reusability of drugs for treatment with less cost and time. We at 3BIGS understand the necessity of discovering novel drugs and their potential targets and predict drug-target binding affinity using deep learning models by evaluating the similarity score on existing drugs for a specific disease. Our ML models are developed on the multiple and diverse data extracted from publicly available datasets. The TB Drug Resistance pipeline related to mycobacterium tuberculosis gene expression data were taken from public GEO and drug resistant SNP mutations from MUBII-TB-DB datasets.
The 3BIGS ML models are capable of using both computational and biological experimental approaches in predicting drug resistant TB drugs since multi drug resistance is a major challenge in the TB treatment.
Combat Drug Resistance: Predict drug resistance for tuberculosis treatment with accuracy.
Tailored Treatment Approaches: Optimize treatment regimens for better patient outcomes.
Accelerate TB Treatment: Address multi-drug resistance challenges effectively.
Multi-Omics Meets Machine Learning
Multi-omics data analyses are of utmost importance as they help in designing patient-specific treatment with less risk and side effects. We at 3BIGS understand the necessity of identifying relevant genes, metabolites, and proteins and predict drugs using deep learning models by integrating various omics data related to a specific disease. Our ML models are developed based on the multiple publicly available datasets.
The 3BIGS ML models are capable of using multi-omics data from both computational and biological experimental approaches in optimizing personalized treatment since the traditional approach of common treatment is not much beneficial on different patient populations.
Personalized Treatment: Design patient-specific treatment plans using integrated omics data.
Uncover Hidden Patterns: Identify relevant genes, metabolites, and proteins for better treatment outcomes.
Enhance Treatment Efficacy: Minimize risks and side effects with data-driven decisions.
Your Genomic Companion
Natural language processing (NLP) based chatGPT models extract valuable information from online databases. However, current NLP models related to biomedical text mining yield unsatisfactory results due to word distribution shift from general domain corpora to biomedical corpora.
3BIGS chatGPT tool is enabling our customers to answer context-specific user queries like disease genes, drugs (including dosage) for disease specific and identify the potential biomarker genes using machine learning. Also, the traditional approaches require manual curation with human intervention involving huge cost and time including human errors.
The 3BIGS chatGPT has alleviated the challenges of NLP-based question-answering task related to scientific data with an improved accuracy. We also have high-end servers at our end which can additionally reduce the time required for these analyses.
Effortless Information Retrieval: Answer context-specific queries with NLP-based chatGPT tool.
Accelerate Research: Streamline scientific data extraction for improved decision-making.
Minimize Human Errors: Enhance accuracy in biomedical text mining for valuable insights.
ML-Powered Drug Repurposing for a Healthier Tomorrow
Revolutionizing Drug Discovery
Our prowess lies in the groundbreaking technique of drug repurposing – a methodology that holds immense potential in combating challenging diseases. Our team of experts, armed with cutting-edge machine learning algorithms, redefines drug discovery by identifying novel therapeutic uses for existing drugs. This approach dramatically reduces the time frame and failure rate associated with drug development, leading to better treatment options for patients.
Accelerate Drug Discovery: Reduce the time frame and failure rate of drug development by repurposing existing drugs.
Expand Treatment Options: Identify new therapeutic uses for drugs, providing better alternatives for challenging diseases.
Cost and Time Efficiency: Revolutionize drug development with faster, cost-effective solutions.
ML-based Medical Image Classification
Advancing Healthcare through Precision Imaging
3BIGS utilizes the cutting-edge machine learning models to detect disease in medical imaging such as ultrasound, histopathology, X-ray and CT/MRI radiology images with remarkable accuracy. Our deep learning algorithms can classify a range of diseases. Using relevant feature selection and deep learning algorithms, we can classify images with remarkable precision and accuracy for breast cancer (benign, malignant and its subtypes), lung cancer (normal, benign malignant), including pneumonia detection from chest X-ray images and even diabetic retinopathy and its severity.
With the 3BIGS deep learning approaches, we’re revolutionizing the way doctors and medical professionals can diagnose and treat their patients.
Precise Disease Diagnosis: Detect diseases in medical images with exceptional accuracy, including breast cancer, lung cancer, and more.
Personalized Treatment: Enable tailored treatment strategies based on accurate image analysis.
Enhance Medical Decision-Making: Empower doctors with advanced insights for quicker and accurate diagnoses.
AI-Driven Clinical Insights
Predicting Success in Trials
We’re revolutionizing the way clinical trials are conducted by utilizing a state-of-the-art machine learning algorithm to predict their success. But what if we could predict the success of clinical trials before they even begin? By analysing data from clinicaltrials.gov and past trial results, our model can determine the potential outcome of a new or ongoing trial with remarkable accuracy.
We offer cutting-edge ML models that allow you to refine your clinical studies’ design to enhance its success. Our algorithms are developed and optimized to make quick, accurate, and more reliable predictions to accelerate clinical trials-based decision-making.
The 3BIGS ML models are capable of pattern recognition based data transformation from drugs, demographics,inclusion exclusion criteria, primary and secondary outcome. In addition, our models can help you in patient stratification and predict disease conditions based on the features derived from various techniques, as per your requirement.
Revolutionize Clinical Trials: Predict trial success before they begin, refining design and outcomes.
Reduce Failure Rates: Minimize trial failures and resource wastage by accurate outcome prediction.
Accelerate Decision-Making: Make data-driven decisions for efficient clinical trial management.
ML for Histopathology
Sharper Diagnosis, Faster Recovery
3BIGS recognizes the importance of employing efficient ML/DL models for the analysis of medical as well as histopathological imaging, which is unique by nature. We have the trained ML models that are achieved with good accuracy and precision to analyze images for diagnosis and prognosis for various diseases: breast cancer, lung cancer, and diabetic retinopathy.
The 3BIGS ML models are capable of predicting benign and malignant cancer subtypes since multi- classification is a major challenge in the clinical diagnostic decision making systems.
Enhance Cancer Diagnosis: Predict benign and malignant cancer subtypes with unprecedented accuracy.
Fast-track Diagnostic Decisions: Streamline pathologists’ efforts with advanced image analysis.
Transform Diagnostic Accuracy: Improve patient outcomes through precise diagnostic insights.
Decoding Genes with ML
Pioneering Gene Biomarker Discovery
Disease biomarker genes are of utmost importance in the disease classification and diagnosis as they help in drug treatment and treatment strategy. We at 3BIGS understand the necessity of discovering novel gene biomarkers to minimize the treatment failure and patient-specific treatment planning. Our ML models are based on the multiple and diverse gene expression data available from public GEO datasets.
The 3BIGS ML models are capable of predicting novel gene biomarkers since the traditional differential gene expression analysis is not capable of giving inference from the multiple heterogeneous datasets.
Optimize Treatment Strategies: Discover novel gene biomarkers for improved disease classification and patient-specific treatments.
Minimize Treatment Failure: Enhance the success of treatments by identifying crucial gene biomarkers.
Advance Precision Medicine: Transform the landscape of personalized medicine with targeted gene-based therapies.
ML-based Microbiome Biomarker Prediction
Disease microbiome biomarkers are of utmost importance in early disease diagnosis and detection as they help in drug selection and treatment strategy. We at 3BIGS understand the necessity of discovering novel gut microbiome biomarkers to minimize the treatment failure and patient-specific treatment planning. Our ML models are based on the multiple and diverse data from various public datasets such as Human Microbiome Project (HMP) and METAgenomics of Human Intestinal Tract (METAHIT).
The 3BIGS ML models are capable of predicting microbiome based disease biomarkers for metabolism diseases like diabetes, inflammatory bowel syndrome, ulcerative colitis and Crohn’s disease including psychiatric illnesses like anxiety, depression etc. which is a major challenge in early disease diagnosis.
Early Disease Detection: Predict microbiome-based disease biomarkers for early diagnosis and treatment.
Targeted Treatment Strategies: Develop personalized treatment approaches based on gut microbiome analysis.
Expand Diagnostic Frontiers: Identify biomarkers for metabolic and psychiatric diseases.
Transform Healthcare with AI-Driven EHR Analytics
Based on hospital in-patient and out-patient health care records such as demographics, diagnostic codes, procedures, laboratory tests and medication data, we input various above parameters encoded representation and train these features using deep learning model to predict patient’s benefit or risk analysis.
The 3BIGS ML models are capable of predicting the patient’s risk and help in developing the patient-specific therapy and planning which is a major revolution in transforming traditional treatment strategy.
Patient-Centric Approach: Predict patient health risks and benefits for tailored healthcare planning.
Transform Treatment Strategy: Develop patient-specific therapy plans for optimal outcomes.
Efficient Risk Analysis: Enhance patient safety and care by evaluating health records.
ML-based T-cell/B-cell Epitope Prediction
T-cell/B-cell epitope prediction are of utmost importance in the development of mRNA vaccines as they help in preventing viral diseases. We at 3BIGS understand the necessity of discovering novel epitopes and in addition our ML models predict in silico affinity, toxicity, allogenicity, major histocompatibility complex (MHC) Class I/II binding, allergenicity, and human leukocyte antigens (HLA) typing. Our ML models are trained based on the public IEDB/iBCE-EL datasets.
The 3BIGS ML models are capable of predicting epitopes for vaccine development since traditional approaches have failed in developing the mRNA vaccines which is a major challenge in the biologics development.
Empower Vaccine Development: Predict viral disease epitopes for effective mRNA vaccine design.
Enhance Immune Response: Develop targeted vaccines for improved disease prevention.
Advance Biologics Research: Overcome vaccine development challenges with accurate predictions.
ML-based Anticancer and Antimicrobial Prediction
Anticancer / antimicrobial peptide prediction are of utmost importance in the development of cancer drugs and antibiotic drugs as they help in developing tissue-specific as well as pathogen-specific drugs. We at 3BIGS understand the necessity of discovering novel peptides and in addition our ML models predict tissue specific small peptides accurately. Our ML models are trained based on the publicly available APD3 and CancerPPD datasets.
The 3BIGS ML models are capable of predicting the drug resistant anticancer and antibiotic drugs since drug resistance is a major challenge in the antibiotics treatment.
Tailored Drug Development: Predict tissue-specific and pathogen-specific drugs for cancer and infections.
Combat Drug Resistance: Address drug resistance challenges with accurate predictions.
Enhance Treatment Efficacy: Develop novel treatments with higher success rates.
Predicting Drug Resistance with ML-Based Models
Repurposable drug prediction is of utmost importance as they help in faster reusability of drugs for treatment with less cost and time. We at 3BIGS understand the necessity of discovering novel drugs and their potential targets and predict drug-target binding affinity using deep learning models by evaluating the similarity score on existing drugs for a specific disease. Our ML models are developed on the multiple and diverse data extracted from publicly available datasets. The TB Drug Resistance pipeline related to mycobacterium tuberculosis gene expression data were taken from public GEO and drug resistant SNP mutations from MUBII-TB-DB datasets.
The 3BIGS ML models are capable of using both computational and biological experimental approaches in predicting drug resistant TB drugs since multi drug resistance is a major challenge in the TB treatment.
Combat Drug Resistance: Predict drug resistance for tuberculosis treatment with accuracy.
Tailored Treatment Approaches: Optimize treatment regimens for better patient outcomes.
Accelerate TB Treatment: Address multi-drug resistance challenges effectively.
Multi-Omics Meets Machine Learning
Multi-omics data analyses are of utmost importance as they help in designing patient-specific treatment with less risk and side effects. We at 3BIGS understand the necessity of identifying relevant genes, metabolites, and proteins and predict drugs using deep learning models by integrating various omics data related to a specific disease. Our ML models are developed based on the multiple publicly available datasets.
The 3BIGS ML models are capable of using multi-omics data from both computational and biological experimental approaches in optimizing personalized treatment since the traditional approach of common treatment is not much beneficial on different patient populations.
Personalized Treatment: Design patient-specific treatment plans using integrated omics data.
Uncover Hidden Patterns: Identify relevant genes, metabolites, and proteins for better treatment outcomes.
Enhance Treatment Efficacy: Minimize risks and side effects with data-driven decisions.
Your Genomic Companion
Unlocking Insights, One Query at a Time - 3BIGS chatGPT
Natural language processing (NLP) based chatGPT models extract valuable information from online databases. However, current NLP models related to biomedical text mining yield unsatisfactory results due to word distribution shift from general domain corpora to biomedical corpora.
3BIGS chatGPT tool is enabling our customers to answer context-specific user queries like disease genes, drugs (including dosage) for disease specific and identify the potential biomarker genes using machine learning. Also, the traditional approaches require manual curation with human intervention involving huge cost and time including human errors.
The 3BIGS chatGPT has alleviated the challenges of NLP-based question-answering task related to scientific data with an improved accuracy. We also have high-end servers at our end which can additionally reduce the time required for these analyses.
Effortless Information Retrieval: Answer context-specific queries with NLP-based chatGPT tool.
Accelerate Research: Streamline scientific data extraction for improved decision-making.
Minimize Human Errors: Enhance accuracy in biomedical text mining for valuable insights.
Why Choose 3BIGS
Scientific Excellence and Innovation
At 3BIGS, we stand at the forefront of scientific discovery and innovation. Our team of experts brings together deep knowledge in bioinformatics, cheminformatics, and cutting-edge technologies to redefine the boundaries of drug discovery.
Tailored Solutions
We understand that every project is unique. Our approach involves collaborating closely with our clients to understand their specific needs and tailor our services accordingly, ensuring optimal results.
Advanced Technology Integration
Our services are backed by state-of-the-art technologies and AI-driven methodologies, allowing us to provide accurate predictions, rapid insights, and impactful solutions.
Proven Track Record
Over the years, we have demonstrated our ability to deliver results that drive scientific advancements. Our track record showcases successful projects that have translated into tangible breakthroughs.
End-to-End Support
From initial consultation to project completion, we provide comprehensive support at every step. Our team is dedicated to ensuring that your drug discovery journey is smooth and successful.
Timely Delivery
We understand the importance of meeting deadlines in the fast-paced world of drug discovery. Our efficient workflows and dedicated professionals ensure timely delivery of results without compromising on quality.
Confidentiality and Security
We prioritize the confidentiality of your data and research. Our robust security measures and ethical practices ensure that your intellectual property is protected throughout the collaboration.
Collaborative Partnership
We view our clients as partners in scientific exploration. Our collaborative approach fosters open communication, shared insights, and a joint commitment to achieving breakthroughs.
Join us at 3BIGS and embark on a journey of innovation, discovery, and transformative drug development.
Together, we’ll shape the future of pharmaceutical research.
By seamlessly blending scientific expertise, advanced technologies, and a commitment to excellence, 3BIGS stands as the ultimate partner for your cheminformatics needs. Contact us today to revolutionize your drug discovery journey.