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Meghan Oates-Zalesky 

Meghan Oates‑Zalesky is Chief Marketing Officer at CapeStart and MadeAi, with over 20 years of experience in healthcare technology and life sciences. Previously CMO at Apollo Intelligence, she helped grow the company from a small startup into a global enterprise. A PharmaVOICE Woman of Influence (2021), Meg’s thought leadership has appeared in leading industry publications. She holds degrees from Harvard and the London School of Economics and is a published novelist and avid equestrian.

106 articles published Follow:
CapeStart's Life Science AI Research Report

CapeStart’s Life Science AI Research Report

Case StudyOctober 25, 2024302Views0Likes0Comments
CapeStart's Life Sciences AI Research Report investigates how professionals in the life sciences sector view and utilize artificial intelligence technologies in their work. The study explores current AI implementations and capabilities, while examining organizational goals and targeted impact areas for AI integration. The report analyzes key challenges and obstacles teams face in AI adoption, along…

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Developing an AI Classifier to Support Oncology Decision-Making

Developing an AI Classifier to Support Oncology Decision-Making

Case StudyOctober 8, 2024132Views0Likes0Comments
CapeStart helped a major multinational digital health company develop a multi-omic, AI-powered classifier to predict patient responses to checkpoint inhibitors. Checkpoint inhibitors are a class of immuno-oncology agents often used to treat solid tumors. The client needed a reliable, knowledgeable, experienced and affordable partner to analyze and label a large batch of de-identified multislice CT images.…

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Pharma Manufacturing

How AI is Reshaping Pharmaceutical Manufacturing

BlogSeptember 30, 2024127Views0Likes0Comments
Artificial intelligence (AI) has significantly impacted the pharmaceutical business in several ways, from drug discovery and formulation to clinical trials and monitoring for adverse drug reactions. But AI can also help improve pharma manufacturing, distribution, and supply chain management by improving efficiency, safety, quality, and other processes. Here’s how AI can be used to improve…

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Providing Expert BI-RADS Data Labeling for Medical NLP Applications

Providing Expert BI-RADS Data Labeling for Medical NLP Applications

Case StudyAugust 4, 2024118Views0Likes0Comments
A major healthcare provider needed an experienced, innovative partner to help the development of an AI-based natural language processing (NLP) classifier. The client’s goal was to use the classifier to automatically identify and categorize Breast Imaging Reporting and Data System (BI-RADS) scores, by extracting and understanding text from a dataset of breast radiology reports. However,…

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