Digital Transformation

Biostatistics is a highly dynamic and growing field dedicated to the creation of innovative theory and methods for study design, data analysis, statistical inference, and the promotion of these methods as integral to interdisciplinary research in human health and the life sciences.

We offer robust and efficient Biostatistics solutions that help improve our Biotechnology and Pharmaceutical clients’ business performance. We provide Biostatistics services to its clients in the entire clinical development cycle: protocol development, study design, statistical analysis, and regulatory submission. We have a pool of experts with significant expertise in Biostatistics and related implementations.

Blue Prism

Blue Prism is an RPA tool that retains the functions of a virtual workforce equipped with a software robot. This allows companies to automate business operations in agile and cost-effective ways.
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Automation anywhere

Automation Anywhere, a global leader in Robotic Process Automation (RPA), uses software bots to automate end-to-end business processes and dramatically increase productivity.
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UI Path

Ui Path is a Robotic Process Automation tool used for Windows desktop automation. Used to automate repetitive / redundant tasks and eliminate human intervention. This tool is easy to use and has drag and drop functionality for activities.
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Kryon

Kryon's AI-based full-cycle automation suite is the only solution that offers process discovery, analytics, and direct deployment to RPA on a single platform.
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Application of BioStatistics:

Good Knowledge of PHP frameworks - Laravel or Slim( exposure of PHP tool - Sublime)

Design and analysis of clinical trials in medicine

Assessment of severity state of a patient with a prognosis of the outcome of a disease.

Population genetics, and statistical genetics in order to link variation in genotype with a variation in phenotype. This has been used in agriculture to improve crops and farm animals (animal breeding). In biomedical research, this work can assist in finding candidates for gene alleles that can cause or influence predisposition to disease in human genetics

Analysis of genomics data, for example from microarray or proteomics experiments. Often concerning diseases or disease stages.

Ecology, ecological forecasting

Biological sequence analysis

Systems biology for gene network inference or pathway analysis.