Machine learning-based model can determine if skin cancer can spread

Using machine learning of 17 genomic signatures, researchers from IIIT Delhi and CSIR-IMTECH have developed a webserver called CancerSPP that will help clinicians in classifying cutaneous melanoma as either primary or metastatic. The accuracy is over 89%, and both sensitivity and specificity are high. Using the expression of 17 key genes (messenger RNAs) it is … Continue reading Machine learning-based model can determine if skin cancer can spread

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IIITD-AIIMS team’s model can predict shock 12 hours in advance

A team led by IIITD-AIIMS researchers has developed a machine-learning algorithm to detect and predict shock using a single photo captured through thermal imaging. It has the ability to predict shock with 69% accuracy 12 hours before it can be clinically recognised by doctors using the current gold standard. The researchers plan to deploy it … Continue reading IIITD-AIIMS team’s model can predict shock 12 hours in advance

Delhi researchers use AI to diagnose asthma, identify subtypes

Studying the total NMR spectra of metabolites present in exhaled breath of children with asthma, IGIB and AIIMS researchers have been able to improve the diagnosis of asthma and identify three asthma subtypes using artificial intelligence. Knowing the subtypes will help in providing better treatment strategies. The algorithm has 80% sensitivity and 75% specificity in … Continue reading Delhi researchers use AI to diagnose asthma, identify subtypes