AI
What will Clinical Research Look Like in 5, 10, 20 Years? Are We Heading to Heaven, Hell or Purgatory? Part 3 of 4
The following is the third installment of the excerpted panel discussion, “Future Visions: Are We Heading to Heaven, Hell or Purgatory?,” that Saama Technologies’ Chief Strategy Officer Sagar Anisingaraju participated in on October 28 at MAGI’s Clinical Research Conference – 2019 West, in Las Vegas. The discussion was moderated by Jonathan Zung, Ph.D., member of Saama’s Clinical Board of Advisors and EVP, WCG.
Read MoreSaama’s Acquisition of Comprehend Fuels Strategic Growth
Together, Saama and Comprehend will deploy and evolve our best-in-class clinical analytics platforms to increase our combined market share, expand our partner ecosystems and deliver on our mutual commitment to accelerate clinical development towards unmet patient needs.
Read MoreAI Can Deliver Unprecedented ROI in Clinical Trials by Managing Data Quality and Compliance
While the potential use cases of AI have increased and its adoption has already gone up in the past few years, the pharmaceutical industry has ample headroom to leverage AI to its fullest. The reason for the lag is, although the technology is new, the methodology driving the processes is still old. One of the…
Read MoreMovidius: The Next Big Leap In Machine Learning Inference For Edge Computing?
Soham Chatterjee makes a case for moving large computations to the Edge instead of wasting bandwidth and other resources for backing of every type of data on the cloud. He further explains how to do it using a Raspberry Pi and the Intel Neural Compute Stick (NCS), a low power USB stick size device that can be used to run machine learning model inference on the Edge.
Read MoreSaama’s LSAC Featured on Amazon AWS web series ‘This is My Architecture’
Krunal Patel, Saama’s Head of Engineering & Architecture, was invited to talk about Life Science Analytics Cloud (LSAC) on a segment on Amazon’s web series This is My Architecture, which highlights innovative architectures developed by its partners and customers using the scalable and flexible AWS cloud.
Read More2 Key Ways in Which Blockchain Can Enable Pharmaceutical Manufacturing and Supply Chain
Building on the advantages of blockchain technology, Tushar Sinkar take a step forward to discuss ways in which blockchain can enable Pharmaceutical Manufacturing and Supply Chain. He presents use cases to establish blockchain’s ability to combat counterfeit drug production and its contribution in Autologous Therapy, which requires a high level of confidentiality, integrity and availability.…
Read MoreAttention Mechanism: Benefits and Applications
Recurrent Neural Networks (RNNs) are powerful neural network architectures used for modeling sequences. LSTM (Long Short Term Memory) based RNNs are surprisingly good at capturing long-term dependencies in the sequences. A barebones sequence-to-sequence/encoder-decoder architecture performs incredibly well in tasks like Machine Translation. A typical sequence-sequence architecture consists of an encoder and a decoder RNN. The…
Read MoreBlockchain in Drug Discovery and Development
The uses and application of blockchain technology are vast and far-reaching. In this article, Tushar Sinkar explores some blockchain uses that can be applied for drug discovery and development, such as eliminating data tampering and ensuring IP protection, among other uses.
Read MorePrivacy and Machine Learning: Concerns and Possible Solutions
AI and its applications are here to stay, even if they bring with them new challenges, as their advantages seem to outweigh the risks. However, in the light of latest controversies and concerns over privacy breach by social companies, the efforts to ensure privacy of users need to be redoubled. Arjun Bahuguna discusses the solutions that manage the vulnerabilities of machine learning and instead leverages its strength to guard information privacy.
Read MoreDisruptive Innovation of Blockchain and Evolution of Pharmaceutical Ecosystem in Data Integrity and Transparency
An interconnected ecosystem is the need of the hour in the pharmaceutical world, where it is more important than ever to enable sharing of information among patients, researchers, and manufacturers and supply chain organizations. However, sharing entails risk to data security. Tushar Sinkar discusses the merits of using blockchain to solve the data security issue and facilitate easy sharing of information.
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