TECHNOLOGY / IN DEPTH

Medical AI & Digital Therapeutics

We analyze medical data, algorithms and the systems in which they operate to identify the technical contribution. Patent assessment is distinct from clinical validation or regulatory review, each of which calls for its own evidence.

WHAT WE REVIEW

Key technical and IP issues

01
Review preprocessing and feature extraction for medical images or biosignals and the composition of training and validation data.
02
Separate the steps performed by algorithms, devices and services to explain their technical contributions.
03
Check publication plans, joint research schedules, data-use arrangements and ownership.

Information to support the initial review

Data types and processing flows
Algorithm validation and comparison data
Research, disclosure and development schedules

You can begin a discussion before all the documents are available. Your development stage and planned disclosures help us establish priorities and agree the scope of work.

Turning technical analysis into an IP plan

Our technical analysis guides prior art searches, filing strategy, prosecution and rights analysis. We agree the scope, deliverables and timetable for each engagement.

01 / IN DEPTH

AI, Machine Learning & Generative AI

We identify the technical contribution in AI and machine learning systems by examining the path from input to output. Improvements in training, inference and implementation are assessed against earlier approaches and the technical effects they produce.

Explore this technology ↗02 / IN DEPTH

Data Analytics, Platforms & UI

We assess the processing behind a digital service: data collection, transformation, storage, retrieval, access control and server interactions. This helps identify patent issues, while the visual interface is considered separately for design protection.

Explore this technology ↗03 / IN DEPTH