Alira Health

Alira Health

European Statistical Forum

November 14, 2023 | Munich, Germany

We are pleased to share that we will present at the European Statistical Forum. This year’s ESForum aims to discuss the future direction of clinical trial design in the era of precision medicine and to debate the role of AI/ML and RWD in the rapidly changing landscape of clinical trial designs.

Lisa Comarella, Director of Biostatistics, will join the event as a member of the Scientific Board. Rajat Mukherjee, Vice President of Advanced Statistics and Data Science will present the speech “How much Training Data is needed to Train a Learner? – A Heuristic Approach,” make sure you do not miss it.

Let’s meet at ESForum and discuss how we can help you to optimize sample sizes and time to decision and de-risk studies using innovative trial designs.

Published on:
August 10, 2023
About Our Speech
How much Training Data is needed to Train a Learner? – A Heuristic Approach

15:00 h| November 14th

One of the most crucial phases of a biomarker discovery or diagnostics development using machine learning (ML) is training the learner algorithm.

In this talk, we focus on learners where a single dominating predictor can be identified. We propose and present a simulation-based approach to estimating the size of the training data.

We also present a seamless adaptive design where the training and validation of a machine learning-based diagnostic device can be carried out in an operationally seamless fashion while mitigating several risk factors that arise naturally in these kinds of biomedical problems.

About Our Speaker
Rajat Mukherjee

Rajat Mukherjee

Vice President, Advanced Statistics and Data Science  Rajat has over 25 years of experience in Biostatistics within both pharmaceutical companies and academic institutions. He holds a PhD degree in Mathematical Statistics from the University of Wisconsin-Madison, an MSc degree in Applied Sciences, and a BSc degree in Statistics. His main areas of expertise include Bayesian and adaptive trial designs, application of machine learning and AI for diagnostics and biomarker discovery, and statistical computation to facilitate the incorporation of complex endpoints in clinical trials. Rajat is also keen on developing statistical software to empower statisticians and clinical trialists.
Our Member of the Scientific Board
Lisa Comarella

Lisa Comarella

Director of Biostatistics
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