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Publications (25)
Background:
The infodemic we are experiencing with AI related publications in healthcare is unparalleled. The excitement and fear surrounding the adoption of rapidly evolving AI in healthcare applications pose a real challenge. Collaborative learning from published research is one of the best ways to understand the associated opportunities and chal...
Large language models (LLMs) have caught the imagination of researchers,developers and public
in general the world over with their potential for transformation. Vast amounts of research and
development resources are being provided to implement these models in all facets of life. Trained using billions of parameters, various measures of their accura...
Proteins hold multispectral patterns of different kinds of physicochemical features of amino acids in their structures, which can help understand proteins' behavior. Here, we propose a method based on the graph-wavelet transform of signals of features of amino acids in protein residue networks derived from their structures to achieve their abstract...
BACKGROUND
Mental health among seniors presents a diverse set of challenges that can be attributed to a number of different causes, including social factors, economic factors, and psychological factors. Researchers are attempting to understand its complexity; however, there is a limited amount of systematic, robust analysis that has been conducted....
Understanding the biological roles of all genes only through experimental methods is challenging. A computational approach with reliable interpretability is needed to infer the function of genes, particularly for non-coding RNAs. We have analyzed genomic features that are present across both coding and non-coding genes like transcription factor (TF...
COVID-19 pandemic has taught us many lessons, including the need to manage the exponential growth of knowledge, fast-paced development or modification of existing AI models, limited opportunities to conduct extensive validation studies, the need to understand bias and mitigate it, and lastly, implementation challenges related to AI in healthcare. W...
Background
The mental health among seniors presents a diverse set of challenges that can be attributed to a number of different causes, including social factors, economic factors, and psychological factors. Researchers are attempting to understand its complexity; however, there is a limited amount of systematic robust analysis that has been conduct...
The purpose of this review is to provide a comprehensive review of publications related to artificial intelligence (AI) applications in healthcare for the year 2022. With an exponentially increasing number of publications related to AI in healthcare,there is a need to have a curated,timely and data driven review.
This year's review provides a compr...
We are delighted to share our lab's latest work: A unique way to study genomic TADs using bulk and #singlecell #transcriptome for association with drug-response and survival in
#cancer. #TCGA #epigenome @IIITDelhi @astar_research
The true benefits of large datasets of the single-cell transcriptome and epigenome profiles can be availed only with their inclusion and search for annotating individual cells. Matching a single-cell epigenome profile to a large pool of reference cells remains a major challenge. Here, we present scEpiSearch, which enables searching, comparison and...
Chromatin is organised in the form of domains known to be insulated from neighbouring regions in the genome. The colocalisation of genes sharing similar functions in the topologically associated domains (TAD) and the orchestration of their activity in cancer-cells and their drug-response have not been comprehensively explored. Here we analyzed patt...
Background:
An ever increasing number of artificial intelligence (AI) models targeting healthcare applications are developed and published every day, but their use in real world decision making is limited. Beyond a quantitative assessment, it is important to have qualitative evaluation of the maturity of these publications with additional details r...
Proteins hold multispectral patterns of different kinds of physicochemical features of amino acids in their structures, which can help understand proteins’ behavior. Here, we propose a method based on the graph-wavelet transform of signals of features of amino acids in protein residue networks derived from their structures to achieve their abstract...
Finding direct dependencies between genetic pathways and diseases has been the target of multiple studies as it has many applications. However, due to cellular heterogeneity and limitations of the number of samples for bulk expression profiles, such studies have faced hurdles in the past. Here, we propose a method to perform single-cell expression-...
The number of annotated genes in the human genome has increased tremendously, and understanding their biological role is challenging through experimental methods alone. There is a need for a computational approach to infer the function of genes, particularly for non-coding RNAs, with reliable explainability. We have utilized genomic features that a...
A review of over 4000+ articles published in 2021 related to artificial intelligence in healthcare.A BrainX Community exclusive, annual publication which has trends, specialist editorials and categorized references readily available to provide insights into related 2021 publications.
Cite as: Mathur P, Mishra S, Awasthi R, Cywinski J, et al. (2022...
Question answering (QA) is one of the oldest research areas of AI and Compu-
national Linguistics. QA has seen significant progress with the development of
state-of-the-art models and benchmark datasets over the last few years. However,
pre-trained QA models perform poorly for clinical QA tasks, presumably due to
the complexity of electronic health...
Single-cell open-chromatin profiles have the potential to reveal the pattern of chromatin-interaction in a cell type. However, currently available cis-regulatory network prediction methods using single-cell open-chromatin profiles focus more on local chromatin interactions despite the fact that long-range interactions among genomic sites play a sig...
The true benefits of large data-sets of single-cell epigenome and transcriptome profiles can be availed only when they are searchable to annotate individual unannotated cells. Matching a single-cell epigenome profile to a large pool of reference cells remains as a challenge and largely unexplored. Here, we introduce scEpiSearch, which enables a use...
Using gene-regulatory-networks-based approach for single-cell expression profiles can reveal unprecedented details about the effects of external and internal factors. However, noise and batch effect in sparse single-cell expression profiles can hamper correct estimation of dependencies among genes and regulatory changes. Here, we devise a conceptua...
Single-cell open-chromatin profiles have the potential to reveal the pattern of chromatin-interaction in a cell-type. However, currently available cis-regulatory network prediction methods using single-cell open-chromatin profiles focus more on local chromatin-interactions despite the fact that long-range interaction among genomic sites plays a sig...
The advent of single-cell open-chromatin profiling technology has facilitated the analysis of heterogeneity of activity of regulatory regions at single-cell resolution. However, stochasticity and availability of low amount of relevant DNA, cause high drop-out rate and noise in single-cell open-chromatin profiles. We introduce here a robust method c...
The advent of single-cell open-chromatin profiling technology has facilitated the analysis of heterogeneity of activity of regulatory regions at single-cell resolution. However, stochasticity and availability of low amount of relevant DNA cause high drop-out rate and noise in single-cell open-chromatin profiles. We introduce here a robust method ca...
Using gene-regulatory-networks based approach for single-cell expression profiles can reveal unprecedented details about the effects of external and internal stress on cells. However, noise and batch effect in sparse single-cell expression profiles can hamper correct estimation of dependencies among genes and regulatory changes. Here we devise a co...
