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Healthcare & Pharma

Healthcare & Pharma

Decrease time for diagnosis and time to market for R&D

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With Machine Learning, Healthcare & Pharma operations can be optimized by:

analyzing large amounts of documents (e.g. patient records or SmPCs) automatically
supporting R&D activities by automated image analysis and faster experiment cycles
improving efficiency and accuracy of medical diagnosis by automatic analysis of imaging techniques (e.g. X-Ray or MRI)

Projects in Healthcare & Pharma

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Legal Review of Rental Contracts

Through dida's expertise in the field of natural language processing (NLP) we succeeded in creating a software for the legal review of rental agreements.

Blog Posts in Healthcare & Pharma

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Project proposals - the first step to a successful ML project

By Emilius Richter July 18th, 2022

For a software provider, the project proposal is the first step toward meeting the needs of the customer. In this article, I will describe the most important modules in machine learning project proposals.


21 questions we ask our clients: Starting a successful ML project

By Emilius Richter May 21st, 2021

Read about the 21 relevant questions that should be considered & answered upfront to start a successful machine learning software project.


Enhancing Search with Question Answering

By Angela Maennel April 26th, 2021

Read here about how open domain question answering systems work & how they can improve your website's search function.


The best image labeling tools for Computer Vision

By Dmitrii Iakushechkin • April 8th, 2021

Read here about the best image annotation tools for computer vision tasks. Everything from the installation to illustration with an example.

Natural Language Processing

How to extract text from PDF files

By Lovis Schmidt • August 17th, 2020

Comparison of the open source Python PDF text extraction tools PyPDF2, pdfminer & PyMuPDF. Read about tools for extracting text from PDF files here.


Pattern Recognition in Medical Imaging

By Matthias Werner • August 27th, 2019

Learn how machine learning algorithms such as Convolutional Neural Networks (CNN) are applied in pattern recognition of medical images.

Use Cases in Healthcare & Pharma

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