The power of artificial intelligence for analyzing health data will empower physicians and speed up decision-making at clinics and hospitals. Below you can find some worked examples of machine learning in healthcare and medicine.

For that, we use the data science and machine learning platform Neural Designer. 

Breast Cancer Diagnosis Machine Learning

Improve outcomes with Neural Designer, applying machine learning to breast cancer diagnosis for earlier detection, timely treatment, and personalized care.
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Target blood donors using machine learning

Neural Designer uses advanced machine learning for blood donor targeting, modeling data to predict donor behavior and optimize recruitment campaigns.
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Diagnosis of urinary diseases using Machine Learning

Improve outcomes with Neural Designer, using machine learning to detect renal pelvis nephritis risk factors and support faster, more reliable care.
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Machine learning leukemia diagnosis from microarray data

Neural Designer leverages machine learning for leukemia microarray modeling, analyzing datasets to classify samples and enhance research.
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Model nanoparticle adhesive strength using machine learning

Neural Designer applies machine learning to nanoparticle adhesive strength, predicting material behavior, improving formulations, and driving nanotechnology innovation.
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Human activity recognition machine learning with smartphone data

Neural Designer leverages machine learning to recognize human activities, helping industries enhance workplace safety, improve rehabilitation systems, and drive innovation in smart devices.
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Diagnose dermatological diseases using machine learning

Enhance clinical workflows with Neural Designer, applying machine learning in dermatology to classify conditions and assist medical decisions.
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Obesity risk prediction using machine learning models

Neural Designer uses machine learning for obesity risk prediction, modeling clinical data to uncover patterns and advance preventive healthcare.
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Diabetic retinopathy risk prediction using machine learning models

Neural Designer uses machine learning for diabetic retinopathy prediction, modeling clinical data to uncover risk factors and advance research.
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Machine learning for treatment prescription of colon cancer

Enhance clinical workflows with Neural Designer, applying machine learning to colon cancer diagnosis to reduce errors and improve reliability.
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Diagnose liver diseases using machine learning

Neural Designer applies machine learning to HCV diagnosis, analyzing patient data to classify infections and support faster, more accurate detection
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Patient screening for lung cancer using machine learning

Enhance diagnostics with Neural Designer, applying machine learning to lung cancer detection to reduce errors, improve accuracy, and assist doctors for better medical diagnosis
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Pancreatic cancer prediction with machine learning

Advance precision medicine with Neural Designer, applying machine learning to pancreatic cancer data to uncover biomarkers and support innovative research.
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Metastasis risk assessment machine learning simulator

Improve cancer treatment with Neural Designer, applying machine learning to colon cancer liver metastasis modeling for better planning, precision, and outcomes.
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Breast cancer mortality prediction with machine learning

Improve survival analysis with Neural Designer, using machine learning to estimate breast cancer mortality risk and guide personalized healthcare decisions.
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Predicting cancer relapse with machine learning

Advance cancer research with Neural Designer, applying machine learning to lung cancer recurrence data to uncover risk factors and improve prognosis.
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