AI-powered clinical decision support (CDS) tools
Disease management: Improved diagnostic and prognostic
Hospital management and cost reduction
AI in cybersecurity and the health sector
Patient monitoring, personalized care, and personalized medicine
AI-ML-based diagnosis of mild cognitive and Alzheimer’s detection
AI-ML-based diagnosis of other neurological disease
Small molecule drug discovery for Glioblastoma (GBM)
BioImaginix is developing a low-cost, definitive diagnostic tool for Alzheimer's disease (AD) and mild cognitive impairment (MCI) using only MRI scans and a generative AI-based algorithm (accuracy: AD versus MCI 81.41% and autopsy-confirmed AD vs. MCI 92.75%). The proof-of-concept is published in a peer-reviewed AD-specialized journal. The product has three most important aspects: the algorithm is tested in autopsy-validated AD cases, validated in two different patient cohorts, and overcoming the data leakage problem. Neurologists/Gerontologists will use it for diagnostic purposes and patient stratification in clinical trials. The technology would overlay MRI retrieval and provide an additional interpretive and diagnostic aspect to help neurologists give a more accurate diagnosis of AD, MCI, and normal brain. We aim to validate by testing differential diagnosis of AD vs. other non-AD dementia patients. We will submit the software as a medical device to the FDA for approval through the 510(k). Looking for potential investors.
Bit S, Dey P, Maji A, and Khan TK* . MRI-Based Mild Cognitive Impairment and Alzheimer’s Disease Classification using an Algorithm of Combination of Variational Autoencoder and Other Machine Learning Classifiers. Journal of Alzheimer’s Disease Reports 8: 1093-1111.
Patent pending: Application# 18/526,065. METHODS OF THERAPEUTICS DEVELOPMENT OF GLIOBLASTOMA MULTIFORME BY QUINAZOLINE DERIVATIVES AND THEREOF
Patent pending Application# 18/513,754: METHOD OF DIAGNOSING AND PREDICTING ALZHEIMER’S DISEASE PROGRESSION