Small dots ... BIG PICTURE
Converting data into information
Researchers generate large amounts of quality data and need to understand, analyze and publish these data to share with the scientific fraternity. The research process needs a careful and intensive look at the analytical step and a cogent thinking and expression at the writing stage. M&H Research, LLC will help you in this process if your data relates to Biomedical Research. Our expert team will help you to make sense of your data, use appropriate statistics and provide you with a simple-to-understand summary and presentable results that can be shared at professional meetings and publications.
Deep learning model to predict kidney fibrosis and tubular atrophy from ultrasonography
Deep learning to predict need for mechanical ventilation in COVID-19 patients
In collaboration with the Cook County Health, Chicago we developed a novel deep learning model that uses the USG images and predicts a histopatholgically defined feature of fibrosis and tubular atrophy from renal biopsies. This paper was published in JAMA Network Open.
Neural network model to predict adverse outcomes after PCI
In collaboration with the Washington University, St. Louis this work focused on using data from >28,000 PCIs to predict complex outcomes like death, bleeding, AKI and stroke using MLP architecture. This paper was published in BMJ Innovations.
In collaboration with the Cook County Health, Chicago and Innotomy Consulting, Bangaluru, India we designed a DenseNet based model to predict the potential need for mechanical ventilation in hospitalized Covid-19 patients based on their admission POC X-rays. This work was published in BMJ Innovations.
Machine Learning for Wavelet-Transformed Electrocardiogram
This project used the power of machine learning to fathom the wealth of information contained within a wavelet transformed ECG signal. The project aimed to bring in an appealing and simple modification of ECG to predict echocardiographic phenotypes. This paper was published in JACC.
Influence of stress hyperglycemia on outcomes in ICU patients
Hyperglycemia in non-diabetic Covid-19 patients predicts poor outcomes
Based on the binational ICU data from Australia and New Zealand, this project uses hierarchical, mixed effects models to answer some tantalizingly important questions related to hyperglycemia in critical care. This paper was published in J Crit Care.
Using a dataset of >400 hospitalized Covid-19 patients and >7000 glucose measurements, we conducted a study to show that hyperglycemia in non-diabetic patients is an early predictor of poor outcomes. This paper was published in Diabetes and Metabolism.
BIG DATA / ML / DL / AI
All Biomedical research projects need statistical help either at the stage of planning during the phase of pilot testing or post-implementation when the data are ready and need to be analyzed and published. We provide publication-level consultation for statistical analyses of such projects.
As the quantity of data increases exponentially, so does the need to conduct meaningful analyses of such data. We are equipped with all it takes to conduct deep and broad analytical queries that include Machine Learning, Deep Learning and Artificial Intelligence.
The competition to publish in top-notch journals is intense. Many a research data are lost solely due to a lack of proper publication skills. We will help you write professional manuscripts that get reviewed and accepted relatively easily.
With special focus on diabetes and thalassemia, my research portfolio includes 75 publications in high-impact, peer-reviewed journals. With a faculty level experience of over 10 years, M&H now is the focus of my research work. Epidemiology and epidemiologic principles are my focus areas.
MANJU MAMTANI, MD
I am a widely cited biomedical researcher with ~150 publications in high-ranked, peer reviewed journals across various disciplines (including Science, Nature Medicine, Nature Immunology, PNAS, etc). My expertise is in BD/ML/DL, epidemiology and biostatistics. M&H is my passion and my dream.
HEMANT KULKARNI, MD
Chief Executive Officer