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MadeAi | Transforming Healthcare Resource Management with Machine Learning

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.

69 articles published Follow:
Developing an AI Classifier to Support Oncology Decision-Making

Developing an AI Classifier to Support Oncology Decision-Making

Case StudyOctober 8, 202492Views0Likes0Comments
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…

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Pharma Manufacturing

How AI is Reshaping Pharmaceutical Manufacturing

BlogSeptember 30, 2024100Views0Likes0Comments
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, 202486Views0Likes0Comments
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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Transforming Healthcare Resource Management with Machine Learning

Transforming Healthcare Resource Management with Machine Learning

White PaperMay 20, 202497Views0Likes0Comments
Healthcare providers are under constant pressure to provide high-quality care and improve patient experiences, while at the same time reducing operational costs. Luckily, healthcare organizations now have more information at their disposal than ever before. They’re sitting on an ever-increasing trove of data generated from diagnostic data, medical claims information, electronic medical records, medical Internet…

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