BOOK A MEETING FR AI is also affecting largely unseen aspects of BioTech and Pharmaceuticals. Things like marketing, lab assistants, and administrative work take up considerable resources. Marketing is a direct contributor to the success of new drugs, at least in the United States, and AI could provide better insights into those campaigns AI can …
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Sentiment Analysis
BOOK A MEETING FR Among the tools of Big Data, sentiment analysis is one that helps to analyze social networking posts and comments. Organizations primarily use it for marketing, advertising, and public relations research. For example, many companies use it to find the reaction of the consumer and get their feedback. Benefits for the company …
Loss of Exclusivity
BOOK A MEETING FR When the company loses exclusive brand rights to a drug, they can effectively use data to maintain patient loyalty and prevent churn. Benefits for the company Companies can still tap the benefits of having the loyal customer base and prevent from losing them. Feasability High Type of expertise/ AI domain Data …
Supply Chain and Manufacturing/ Advanced Supply Chain Optimization
BOOK A MEETING FR Identifying the most efficient supply system by optimizing and automating steps of production will become even more important as drugs are increasingly customized to small numbers of patients with certain genetic profiles. When it comes to manufacturing, pharmaceuticals can harness machine learning to control rising equipment maintenance costs and pave the …
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The Future of Computational Biochemistry
BOOK A MEETING FR Computational biochemistry allows drug-makers to cut out a significant portion of the test tube experiments. Instead, a computer simulates the protein and tests all of its atomic interactions. That analysis will yield a far conscise list of leads that researchers can take to the next stage of testing Benefits for the …
Identifying Compounds
BOOK A MEETING FR Instead of throwing darts at the wall and hoping to land on an eventual hit—an expensive and inefficient process—pharmaceutical companies can leverage Deep Learning techniques to not only cull through literature and journal publications but also to pre-screen for the most effective potential compounds to prioritize their time. There are software …
Identifying patients for clinical trials
BOOK A MEETING FR ML/AI can help introduce efficiencies to the clinical trial process in two ways. First, by more quickly and precisely identifying patients who would be a good fit for a particular trial via advanced analysis of medical records or by exploring geographically- and symptom-distinct patients at scale. Secondly, these techniques can examine the …
Drug Discovery
BOOK A MEETING FR Pharmaceutical companies use the insights from the patient information such as mutation profiles and patient metadata. This information helps the researchers to develop models and find statistical relationships between the attributes. This way, companies can design drugs that address the key mutations in the genetic sequences. Also, deep learning algorithms can …
Drug Discovery
BOOK A MEETING FR Pharmaceutical companies use the insights from the patient information such as mutation profiles and patient metadata. This information helps the researchers to develop models and find statistical relationships between the attributes. This way, companies can design drugs that address the key mutations in the genetic sequences. Also, deep learning algorithms can …