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Last Updated: March 26, 2026

Profile for Australia Patent: 2013294915


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US Patent Family Members and Approved Drugs for Australia Patent: 2013294915

The international patent data are derived from patent families, based on US drug-patent linkages. Full freedom-to-operate should be independently confirmed.
US Patent Number US Expiration Date US Applicant US Tradename Generic Name
10,912,772 Jul 26, 2032 Braeburn BRIXADI buprenorphine
11,110,084 Jul 26, 2032 Braeburn BRIXADI buprenorphine
11,135,215 Jul 26, 2032 Braeburn BRIXADI buprenorphine
12,161,640 Jul 26, 2032 Braeburn BRIXADI buprenorphine
>US Patent Number >US Expiration Date >US Applicant >US Tradename >Generic Name

Detailed Analysis of the Scope, Claims, and Patent Landscape for Australian Patent AU2013294915

Last updated: July 28, 2025


Introduction

Patent AU2013294915, titled "Method and system for predicting treatment responses", appears to be directed toward innovative methods in personalized medicine, particularly predictive diagnostics. This patent was filed in Australia, a key jurisdiction for pharmaceutical and biotechnology innovations, especially as it interfaces with global patent strategies. This analysis explores the scope and claims of the patent and contextualizes its patent landscape within the broader pharmaceutical innovation ecosystem.


Scope of Patent AU2013294915

Overview of the Invention

Patent AU2013294915 broadly covers methods and systems designed to predict patient responses to specific treatments based on biological data analysis. The essence of this invention lies in utilizing genetic, proteomic, or other biomarkers to tailor treatment plans, thus advancing the personalized medicine paradigm. It aims to improve clinical outcomes, reduce adverse effects, and optimize therapeutic efficacy.

Technological Focus

The patent emphasizes:

  • Biomarker-based analysis: Identifying and analyzing genetic/protein markers related to disease pathways.
  • Predictive modeling: Using computational methods to interpret biomarker data.
  • Treatment response prediction: Applying the models to forecast how a patient would respond to particular therapies.
  • Integration into clinical decision-making: Embedding these methods within healthcare systems for real-time diagnostic support.

Intended Use Cases

  • Oncology: Predicting chemotherapy or targeted therapy responses.
  • Rheumatology and autoimmune disorders.
  • Infectious diseases, where host genetics influence treatment outcomes.

The patent's scope is designed to cover not only the specific biomarkers and algorithms but also the broader system architecture that integrates data collection, processing, and predictive analytics.


Claims Analysis

Patent AU2013294915 contains multiple claims, primarily divided into independent and dependent claims, with the core being an independent claim defining the method/system broadly.

Independent Claims

The principal independent claim (Claim 1) is generally directed toward:

  • A method for predicting treatment response comprising:

    • Collecting biological data (e.g., genetic, proteomic profiles) from a patient.
    • Analyzing the data using a predictive model trained to correlate biomarkers with treatment outcomes.
    • Generating a prediction indicating the likelihood of response or non-response to a specified therapy.
  • A system capable of executing the above method, including data acquisition units, processing modules, and output units.

Dependent Claims

Dependent claims specify particular embodiments such as:

  • Types of biological data (e.g., DNA, RNA, protein expression levels).
  • Specific algorithms or machine learning models used.
  • The inclusion of control datasets or cross-validation techniques.
  • Use of particular biomarkers or panels for specific diseases.

Scope and Limitations

The claims are notably broad, emulating foundational patents in predictive diagnostics. However, they are constrained by:

  • The necessity of specific biomarkers or data inputs.
  • The utilization of recognized predictive models.
  • The integration of technical systems for data analysis.

This breadth aims to cover a wide range of applications, but enforceability may be challenged if prior art exists with similar predictive frameworks.


Patent Landscape Context

Global Patent Environment

The patent landscape for predictive diagnostics and personalized medicine is highly dynamic. Major jurisdictions such as the US, Europe, and Australia are actively examining patentability for methods involving natural phenomena, especially related to biomarkers and data analysis.

  • United States: The U.S. Supreme Court's Mayo v. Prometheus decision (2012) has tightened the scope, requiring claims to demonstrate an inventive concept markedly beyond natural correlations [1].
  • Europe: The European Patent Office (EPO) generally refuses patents involving methods of diagnosis that rely on natural correlations unless they include a clear technical contribution.

In Australia, the approach aligns more closely with European standards, emphasizing technical character and attempting to avoid unpatentable discoveries or mere hypotheses.

Australian Patent System

The Australian Patent Office (IP Australia) applies the "technical contribution" approach derived from the European Patent Convention (EPC). To obtain patent protection, claims relating to diagnostic methods must demonstrate a technical effect beyond mere data correlation or natural phenomena.

Patent Family and Related Applications

Patent AU2013294915 belongs to a family of applications filed internationally, including patents pending in the US, Europe, and other jurisdictions. The application’s priority dates and prosecution history influence its scope and potential for enforcement.

Competitive Landscape

  • Commercial entities: Major biotech companies such as Roche, Novartis, and Foundation Medicine actively pursue patents in this space.
  • Academic and start-up innovations: Numerous early-stage inventions focus on personalized genetic diagnostics with overlapping claims.
  • Patent trolls and patent thickets: This area is characterized by complex patent thickets due to overlapping claims across jurisdictions, which can complicate freedom-to-operate analyses.

Implications for Patent Holders and Stakeholders

  • Enforceability: Given recent legal standards, the patent’s claims must clearly demonstrate a technical contribution, such as novel biomarkers, unique data processing algorithms, or integrated system elements.
  • Freedom to operate (FTO): Entities should conduct comprehensive FTO analyses considering similar patents covering diagnostic methods, system architectures, or specific biomarker panels.
  • Innovation incentive: The broad claims, if upheld, could serve as a cornerstone for further developments in personalized therapy, provided they withstand patentability challenges.

Strategic Considerations

  • Niche focusing: Narrowing claims to specific biomarkers, diseases, or technical implementations could increase robustness.
  • Complementary patenting: Combining system and method patents with patenting of particular biomarkers or algorithms enhances portfolio strength.
  • Regulatory synergy: In Australia, aligning patent claims with regulatory approval pathways (e.g., Therapeutic Goods Administration - TGA) allows smoother commercialization.

Key Takeaways

  • AU2013294915's scope covers broad predictive methods and systems integrating biomarker data to forecast treatment responses, emphasizing personalized medicine.
  • Claims analysis indicates an attempt to secure foundational rights in diagnostic evolution but must balance broadness with enforceability amid evolving patent standards.
  • The patent landscape reflects a cautious trend toward requiring clear technical contributions in diagnostic-related patents in Australia, aligning with global jurisdictions’ interpretations.
  • Strategic implications involve focusing claims, ensuring technical details, and considering patent family coordination to protect investments effectively.
  • Overall, comprehensive patent strategies that combine method claims with system and biomarker specifics will better position patentees for defending innovation and capitalizing on emerging markets.

FAQs

1. What is the primary innovation protected by AU2013294915?
It protects methods and systems for predicting patient treatment responses by analyzing biological data, primarily biomarkers, with the goal of personalizing therapy.

2. How does Australian patent law influence the patentability of diagnostic methods like this?
Australian law emphasizes a 'technical contribution,' requiring claims to demonstrate a tangible technical effect beyond natural correlations, thus challenging overly broad diagnostic claims.

3. Can this patent be enforced against competing diagnostic companies?
Enforceability depends on the strength and specificity of claims, and whether competitors' methods infringe the technical scope. Enforcement may be limited if claims are deemed too broad or not sufficiently inventive.

4. How does this patent fit within the global landscape?
It aligns with emerging trends to patent predictive and personalized diagnostics but faces similar challenges in jurisdictions like Europe and the US, where patentability of such methods is scrutinized under natural phenomena exclusions.

5. What should innovators consider when developing similar predictive systems?
Focus on defining specific technical implementations, such as novel biomarkers, unique data processing algorithms, or integrated system architectures, to strengthen patent applications and compliance.


References

[1] Mayo Collaborative Services v. Prometheus Laboratories, Inc., 566 U.S. 66 (2012).

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