TechnoSTAT is at the forefront of adopting biostatistical methodologies and artificial intelligence (AI) to develop more efficient clinical trials utilizing advanced analytical tools for all stages of development.
AI and machine learning methodologies are now being applied to nearly every area of the world, from mobile apps in daily use to the most sophisticated technologies. At TechnoSTAT, our team of biostatisticians applies the same methodologies to trial design, trial adaptations by adaptive design, modeling of results and developing improved algorithms for medical devices.
While classical biostatistical techniques such as logistic regression are still relevant, TechnoSTAT also applies large-scale hypothesis testing using false discovery rate (FDR) methodology and classifier algorithms (such as random forests, neural networks, etc.).
In contrast to automated software packages that help to mine data, at TechnoSTAT we utilize statistical analyses to pre-process the data before applying the data to deep-learning software, thereby providing better understanding of each feature’s contribution and improving overall accuracy.
Companies developing their own algorithms can also benefit from consultation with TechnoSTAT biostatisticians, whose well-rounded experience is bound to help enlighten any data scientist and take their own algorithm development to the next level.
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