Terms & Conditions

1. WHO WE ARE

These Terms and Conditions govern your use of EQUAL Evidence and its associated digital services ("EQUAL Evidence" or the "Platform") operated by EQUAL CARE AG.

Provider:

EQUAL CARE AG

Dammstrasse 16, 6300 Zug, Switzerland

Swiss Commercial Registry: CHE-487.976.371

Contact: info@equal-care.org

By accessing or using any part of our Platform, you accept these Terms and Conditions in full. If you do not agree with any provision, you may not use our services.

2. EQUAL Evidence

EQUAL CARE operates EQUAL Evidence as a digital informational service that provides access to structured scientific information through an AI-powered conversational interface.

EQUAL Evidence is our professional-tier service offering AI-powered clinical intelligence for healthcare professionals and researchers. This service requires both account creation and an active paid subscription. You can submit natural language queries about gender-specific clinical evidence ("Input") and receive AI-synthesized answers with full citation traceability ("Output"). Output is generated automatically using proprietary and/or third-party AI models (e.g. Evidence Hunt; Input and Output together, the "Content"). Model versions, variants, features and quality may change over time. EQUAL CARE Provider may add, remove, or replace models or features at any time. Changes to third-party models or infrastructure may affect availability or the quality, accuracy, or completeness of the Output. No refunds shall be granted solely for such changes.

The Platform is accessible at registry.equal-care.org/evidence. The Output generated using the Platform may incorporate structured data derived from publicly available scientific, regulatory, and clinical information sources.

3. WHAT THIS IS (AND ISN'T)

Information Only

All Output generated through EQUAL Evidence are informational and educational in nature. Our Platform does not provide medical advice, treatment recommendations, or clinical decision support. It does not replace professional medical judgment, analyze individual patient cases, or constitute a decision support system under applicable laws.

The Platform generates Output based on structured evidence and research findings to support professional education and evidence-based practice. Healthcare providers remain solely responsible for all clinical decisions and must independently verify all information against current clinical guidelines and best practices. The Output is not a substitute for professional medical judgment.

Regulatory Classification

EQUAL CARE is designed to operate as an information and research tool. It is not intended to be, and shall not be deemed to be, a medical device under Regulation (EU) 2017/745 on medical devices (MDR)), the Swiss Federal Act on Medicinal Products and Medical Devices (Therapeutic Products Act, TPA), or similar regulations in other jurisdictions.

The service is not designed, intended, or marketed as a clinical decision support system, does not analyse patient-specific data, and shall not be used as the sole basis for diagnosis, treatment, or other clinical decision-making.

You should independently verify critical information against official regulatory Account sources and current clinical guidelines before relying on any Output.

4. USING EQUAL EVIDENCE

4.1 Account Creation and Free Trial

To access EQUAL Evidence, you must create an account by providing your name, professional email address, and professional role (the "Account"). You will receive one complimentary AI query. Upon registration, you will receive two additional complimentary queries, for a total of three free queries. EQUAL CARE shall be free to accept or decline any registration request at its sole discretion. You shall be responsible for maintaining the confidentiality and security of your credentials and shall not disclose them to any third party. You shall immediately notify us if you know or have any reason to suspect that your credentials have been lost, stolen, misappropriated, or otherwise compromised or in case of any actual or suspected unauthorized use of your Account. You shall be liable for any and all activities conducted through your Account, unless such activities are not authorized by you and you are not otherwise negligent (such as failing to report the unauthorized use or loss of its credentials). We may suspend or terminate Accounts in case of misuse.

Once you have exhausted your free trial queries, continued use of the Platform requires an active paid subscription.

4.2 Subscription Features

Paid subscribers to EQUAL Evidence shall have access to our full suite of professional tools. This includes 60 questions per rolling monthly period, advanced AI based synthesis and analysis capabilities, storage functions for query results, and full citation traceability to original source publications.

The limit of 60 questions per rolling monthly is intended to ensure service quality, manage infrastructure costs, and maintain sustainable access to third-party AI models, services and data providers. This limit applies equally across all subscription tiers.

4.3 Fair Use Policy

The Platform is intended for legitimate professional and research use by individuals. You may not use automated tools, bots, scripts, or any form of systematic scraping to access Platform content. Creating multiple Accounts to circumvent query limits or subscription requirements is strictly prohibited. Accounts found to be in violation of these fair use principles will be immediately suspended or terminated without refund.

4.4 Right of Withdrawal for Digital Services

If you are a consumer residing in the European Union or the United Kingdom, you expressly request that the services be provided immediately upon subscription and acknowledge that you thereby lose your statutory right of withdrawal once performance of the services has begun.

5. ARTIFICIAL INTELLIGENCE AND TRANSPARENCY

5.1 How AI Works in EQUAL Evidence

EQUAL Evidence employs artificial intelligence, including third-party AI models, to interpret your clinical questions, search our structured evidence database, extract sex- and gender-disaggregated findings, synthesize results from multiple studies, and present these findings with complete citation traceability. The AI models transform natural language questions into structured queries, identifies relevant evidence, and generates summaries that highlight gender-specific differences in clinical outcomes.

5.2 What AI Cannot Do

Our Platform, including the underlying AI model, does not make autonomous clinical decisions, access individual patient health records, guarantee specific clinical outcomes, or replace professional medical expertise. The Platform serves as an analytical tool to assist healthcare professionals in navigating complex evidence more efficiently. However, it does not possess clinical judgment and cannot account for individual patient circumstances.

5.3 Known Limitations

You should be aware of several important limitations in our Platform. The Platform may not identify all relevant studies, particularly those published in non-indexed journals or in languages other than English. The quality of AI generated synthesis depends directly on the availability and quality of published evidence in our database. Significant gender data gaps exist in many therapeutic areas, particularly in oncology, rare diseases, and pediatric populations. All Output requires independent professional validation before being applied in clinical practice.

Every Output includes direct links to the original source publications, allowing you to verify the synthesis against primary evidence. You acknowledge that Output may contain inaccuracies, incomplete information, or outdated content. You shall remain solely responsible for independently verifying any information obtained through the service before relying on it for professional, clinical, research, or other purposes. Official regulatory publications, prescribing information, and applicable clinical guidelines shall be consulted as the primary source of authoritative information.

5.4 Compliance with EU AI Act

We are committed to transparency and human oversight as required by the EU Artificial Intelligence Act (Regulation 2024/1689). Detailed technical information about our AI systems, including training data sources, bias mitigation measures, and performance metrics, is provided in Annex A of these Terms and Conditions, which shall form an integral part of the agreement.

6. INTELLECTUAL PROPERTY

6.1 Ownership

EQUAL CARE AG and our licensors retain all intellectual property rights in the Platform, including but not limited to all software, algorithms, user interfaces, AI processing models and methodologies, gender-focused analysis frameworks, proprietary data compilations and structured databases, as well as all trademarks, logos, and branding including "EQUAL CARE," "EQUAL Evidence," and "EQUAL Registry."

6.2 Content

You retain all rights to your Input. As between you and the EQUAL CARE, you own the generated Output, subject to applicable law. Output is not guaranteed to be unique.

You grant EQUAL CARE and, to the extent necessary, its licensors a non-exclusive, worldwide, royalty-free license to use Content for operating, securing, maintaining, and improving the Platform, including for training and improving the Platform and including abuse prevention and compliance. EQUAL CARE does not claim ownership of Content, including Output.

6.3 Prohibited Uses

You shall not (a) use the Platform for any fraudulent activity or to breach any third-party intellectual property rights, (b) reverse engineer, decompile, disassemble, or otherwise attempt to derive the source code or underlying ideas, algorithms, structure, or organization of the software, (c) use the Platform to build, train, fine-tune competing AI-models or competing services, (d) manipulate, or try to manipulate, the Platform in order to get access to, or a reduced price for, the Platform, (e) use the Platform in a manner that violates any applicable law or regulation, (f) use the Platform for any purpose other than set out in these Terms, or (g) introduce any malware, virus, or other harmful code to the Platform.

You and any third party shall not remove, alter, tamper with, or otherwise circumvent any marks, metadata, watermarks, or other provenance or origin signals indicating that content has been generated or manipulated by AI. This prohibition shall also apply where such Content is used as Input and subsequently transformed by the Platform into new Output.

7. WARRANTY

Our Platform and the underlying services are provided "as is" except to the extent prohibited by law. EQUAL CARE and its licensors make no warranties (express, implied, statutory, or otherwise) with respect to the Platform and disclaim all warranties, including but not limited to warranties of merchantability, fitness for a particular purpose, satisfactory quality, non-infringement, and quiet enjoyment, to the maximum extent permitted by law.

We do not guarantee the accuracy, completeness, or current regulatory status of the evidence referenced or contained in the Platform, nor do we warrant uninterrupted or error-free service operation, or that any content will be secure, not lost, or altered. Additionally, the Platform's AI synthesis may contain errors, and specific clinical outcomes from using the Platform cannot be guaranteed.

Our Platform relies on third-party data providers, cloud services, and other infrastructure partners. We are not responsible for errors, omissions, biases, outages, service interruptions, changes in pricing, terms, or data availability, or any consequences arising from third-party service failures.

You accept and agree that any use of Output from our service is at your sole risk, and you acknowledge and accept sole responsibility for all clinical decisions made in your professional practice, compliance with professional licensing requirements and codes of conduct, independent verification of all output before clinical application, and patient safety under all circumstances. You further agree that you will not rely on Output as the sole source of truth or factual information, nor as a substitute for professional advice.

8. LIABILITY

NEITHER EQUAL CARE NOR ANY OF ITS LICENSORS WILL BE LIABLE FOR ANY INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, OR EXEMPLARY DAMAGES, INCLUDING DAMAGES FOR LOSS OF PROFITS, GOODWILL, USE, OR DATA OR OTHER LOSSES, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. EQUAL CARE'S AGGREGATE LIABILITY UNDER THESE TERMS WILL NOT EXCEED THE AMOUNT YOU PAID FOR THE SERVICE THAT GAVE RISE TO THE CLAIM DURING THE 12 MONTHS BEFORE THE LIABILITY AROSE. THE LIMITATIONS IN THIS SECTION APPLY ONLY TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW.

We shall not liable for any medical malpractice claims, professional licensing or regulatory consequences, patient outcomes or adverse events, or violations of professional standards arising from your use of our Platform.

SOME COUNTRIES AND STATES DO NOT ALLOW THE DISCLAIMER OF CERTAIN WARRANTIES OR THE LIMITATION OF CERTAIN DAMAGES, SO SOME OR ALL OF THE TERMS ABOVE MAY NOT APPLY TO YOU, AND YOU MAY HAVE ADDITIONAL RIGHTS. IN THAT CASE, THESE TERMS ONLY LIMIT THE PROVIDER'S RESPONSIBILITIES TO THE MAXIMUM EXTENT PERMISSIBLE IN YOUR COUNTRY OF RESIDENCE.

EQUAL CARE'S SUPPLIERS, LICENSORS, AND DISTRIBUTORS ARE INTENDED THIRD PARTY BENEFICIARIES OF THIS SECTION.

9. INDEMIFICATION

You agree to indemnify and hold harmless EQUAL CARE, its affiliates, officers, employees, and partners from and against any third-party claims, damages, losses, liabilities, costs, or expenses (including reasonable legal fees) arising out of or in connection with (a) your Content, (b) your use of the Platform, and/or (c) your violation of these Terms and Conditions or applicable law. This indemnity shall apply to the fullest extent permitted under applicable law and shall not limit any other rights or remedies available to EQUAL CARE.

10. GENERAL PROVISIONS

10.1 Modifications to Terms

We may update these Terms and Conditions at any time to reflect changes in our services, legal requirements, or business practices. We will provide 30 days advance written notice of any material changes via email to your registered address. Continued use of the Platform after the notice period shall constitute acceptance of the modified Terms and Conditions.

10.2 Account Termination

We reserve the right to suspend or terminate user Accounts immediately in cases of these Terms and Conditions, abusive or harassing behavior toward our staff or other users, fraudulent activity or payment fraud, non-payment of subscription fees, or use of automated scraping, bots, or similar tools in violation of our fair use policy set out in Clause 4.3 or any action in violations of the prohibited uses set out in Clause 9.4.

10.3 Governing Law and Jurisdiction

These Terms and Conditions are governed by the substantive laws of Switzerland, excluding its conflict of law principles and the United Nations Convention on Contracts for the International Sale of Goods (CISG). If you are a consumer resident in another country, you may also benefit from any mandatory consumer protection provisions of the law of your country of residence. The courts of Zug, Switzerland, shall have exclusive jurisdiction over any disputes arising from these Terms, unless mandatory law provides otherwise.

10.4 Force Majeure

We shall not be liable for any delay or failure in performance due to circumstances beyond our reasonable control. This includes, but is not limited to, pandemics and public health emergencies, natural disasters, wars or acts of terrorism, government actions or regulatory changes, strikes or labor disputes, internet infrastructure failures, and outages or failures of third-party service providers, including Evidence Hunt, cloud infrastructure, or payment processors.

10.5 Entire Agreement

These Terms and Conditions, together with Annexes A, constitute the entire agreement between you and EQUAL CARE regarding the use of the Platform and supersede all prior or contemporaneous agreements or understandings.

10.6 Severability

If any provision of these Terms and Conditions is found to be invalid or unenforceable by a court of competent jurisdiction, that provision shall be modified to the minimum extent necessary to make it valid and enforceable, or if modification is not possible, it shall be severed from these Terms. The remaining provisions will continue in full force and effect.

10.7 No Waiver

Our failure to enforce any right or provision of these Terms and Conditions shall not constitute a waiver of that right or provision. Any waiver must be in writing and signed by an authorized representative of EQUAL CARE to be effective.

10.8 Assignment

You may not assign, transfer, or sublicense your Account or any rights under these Terms and Conditions without our prior written consent. We may assign or transfer any or all of our rights and obligations under these Terms and Conditions to any corporate affiliate or subsidiary, to any successor entity in a merger, acquisition, or sale of assets, or to any third party, provided we give you 30 days advance notice of such assignment.

10.9 Language

These Terms and Conditions are drafted in English. Translations may be provided for user convenience, but in the event of any conflict or ambiguity between versions, the English language version shall control.

10.10 Contact Information

For questions, concerns, or requests related to these Terms, please contact us at info@equal-care.org.

Mailing Address:

EQUAL CARE AG

Dammstrasse 16

6300 Zug

Switzerland

EQUAL CARE AG

Version 2.0 - March 24, 2026

ANNEX A: AI TRANSPARENCY STATEMENT

This Annex provides detailed information about the artificial intelligence systems employed in EQUAL Evidence, in accordance with the transparency obligations set forth in the EU Artificial Intelligence Act (Regulation 2024/1689).

A1. System Overview and Classification

The EQUAL Evidence AI Synthesis Layer is designed as a professional informational and research-support tool intended to assist users in locating and interpreting published clinical evidence related to sex and gender differences in medical outcomes. The system does not make autonomous clinical decisions and does not replace professional medical judgment. Under the EU AI Act classification framework, this system is designed to comply with requirements for professional tools requiring human oversight and transparency.

A2. Technical Operation

The AI system operates through three integrated processes. First, it employs natural language processing based on large language models to parse clinical questions submitted by users, identifying key clinical concepts such as medications, medical conditions, patient populations, and clinical outcomes. The system then maps these identified concepts to our structured evidence database.

Second, the system performs evidence synthesis by analyzing retrieved evidence to identify and extract sex- and gender-disaggregated data, comparing outcomes between male, female, and diverse populations where such data exists, highlighting statistically significant differences when reported in source studies, and synthesizing findings across multiple research publications.

Third, the system generates outputs in the form of plain-language summaries of key findings, structured comparisons of sex-specific clinical outcomes, complete citations to all source publications referenced, detailed study characteristics including sample sizes and methodological approaches, and confidence indicators based on the quality and consistency of underlying evidence.

A3. Data Sources and Training

The AI operates on data drawn from multiple high-quality medical sources. These include peer-reviewed medical literature accessed through databases such as PubMed, Embase, and the Cochrane Library; regulatory filings and submissions from the European Medicines Agency (EMA), the US Food and Drug Administration (FDA), and Swissmedic; the EQUAL Registry structured evidence database developed by our team; clinical trial registries including ClinicalTrials.gov and the EU Clinical Trials Register; and published meta-analyses and systematic reviews.

All evidence incorporated into our database is validated against original source documents, version- controlled with precise timestamps, continuously updated as new evidence is published, and quality-assessed using established methodological frameworks. We use only data that is publicly available or licensed under appropriate legal agreements.

A4. Known Limitations and Potential Biases

Users should be aware of several important limitations inherent in our system and in the underlying evidence base. Historical underrepresentation of women in clinical trials, particularly in research conducted before the year 2000, creates systematic gaps in available evidence. Certain therapeutic areas including oncology, rare diseases, and pediatric medicine have particularly limited sex-disaggregated data. Research on non-binary and transgender populations is minimal across virtually all therapeutic contexts. Clinical trials have been conducted predominantly in North American and European populations, limiting generalizability to other regions.

The AI processing itself has limitations. Our search algorithms may not identify all relevant studies, particularly those published in non-indexed journals or non-English languages. The system is primarily trained on English-language medical publications, which may introduce linguistic bias. There is a lag time between publication of new evidence and its incorporation into our database. Complex or nuanced clinical data may occasionally be misinterpreted by automated processing.

The quality of AI synthesis is fundamentally limited by the quality of published underlying evidence. The system cannot account for unpublished negative trials, which creates publication bias. The accuracy of our sex-disaggregated analyses depends entirely on whether original study authors reported such disaggregation. Meta-analyses and systematic reviews incorporated into our database inherit any biases present in their included studies.

A5. Bias Mitigation

We employ multiple strategies to identify and mitigate bias in our AI outputs. Our technical measures include regular systematic audits of synthesis outputs to detect gender bias or other systematic errors, comparison of AI-generated syntheses against expert clinical reviews, algorithmic adjustments based on identified issues and user feedback, and careful curation of diverse training data sources.

We maintain transparency through clear labeling of evidence gaps and data limitations, explicit statements when sex-disaggregated data is unavailable for a query, complete citation traceability allowing verification against source publications, and confidence indicators that reflect synthesis quality and evidence consistency.

We also implement robust user feedback mechanisms, including error reporting systems that allow users to flag problematic outputs, professional review of all flagged content by our clinical team, and continuous improvement of algorithms and processes based on real-world usage patterns.

A6. Human Oversight Requirements

All AI outputs must be independently reviewed and validated by qualified healthcare professionals before application to clinical practice. The AI provides information and analysis; it does not provide recommendations or prescriptive guidance. Professional clinical judgment must always supersede AI synthesis, particularly in cases where AI outputs conflict with clinical experience or patient-specific factors. Healthcare professionals must verify all critical information against current clinical guidelines, consider individual patient circumstances that the AI cannot assess, cross-reference AI syntheses with primary peer-reviewed literature, and maintain ultimate responsibility for all clinical decisions.

We continuously monitor system performance through analysis of user feedback and error reports, systematic comparison of synthesis accuracy against expert clinical reviews, tracking of potential bias indicators in system outputs, and regular assessment of overall system performance metrics.

A7. Performance and Quality Assurance

We maintain rigorous quality standards for our AI system. Our target for citation accuracy is greater than 95 percent when verified against source publications. The accuracy of sex-disaggregation detection is fundamentally dependent on the quality and completeness of reporting in source studies. We evaluate synthesis relevance and usefulness through systematic user feedback collection and analysis.

Our quality assurance processes include regular comparison of AI outputs against independent expert clinical reviews, continuous monitoring of user satisfaction through feedback mechanisms, systematic tracking of error rates and implementation of corrective measures, and ongoing refinement of algorithms based on performance data and emerging best practices.

When evidence is sparse or of low quality, we clearly indicate these limitations in our outputs. When source studies do not report sex-disaggregated data, we explicitly state this gap. When findings conflict across different studies, we present all perspectives rather than attempting to resolve contradictions artificially. When evidence is entirely absent for a particular query, we acknowledge this gap explicitly rather than providing speculative synthesis.

A8. User Rights and Controls

Users retain full control over how they interact with our AI system. You have the right to trace all AI outputs directly to source citations, access detailed methodology documentation, request clarification on synthesis logic or processes, and report errors, biases, or concerns for our review.

You may override or disregard AI synthesis entirely and review raw evidence independently, access original source publications directly through our citation links, export AI-generated results for independent expert review, and provide feedback on synthesis quality to help us improve the system.

A9. System Updates and Versioning

We continuously improve our AI system while maintaining transparency about changes. Major algorithm updates that materially affect synthesis methodology are communicated to users with 30 days advance notice. Minor improvements to accuracy, performance, or user experience are implemented on an ongoing basis without specific notice. Critical bug fixes addressing errors or safety issues are applied immediately. We maintain comprehensive version history that is accessible for transparency and audit purposes.

Our evidence database is updated continuously as new research is published and made available to us. Major database updates are flagged in the user interface. Version timestamps are maintained on all evidence entries to enable traceability. Detailed change logs are available for users who wish to understand what evidence has been added or updated.

A10. Regulatory Compliance Commitments

This AI system is designed to comply with applicable provisions of the EU Artificial Intelligence Act, specifically transparency obligations under Article 13, human oversight requirements under Article 14, accuracy and robustness standards under Article 15, and record-keeping requirements under Article 12.

We classify this system as a professional informational and research-support tool that requires human oversight and independent verification by qualified professionals.

We commit to ongoing regulatory compliance through regular internal compliance assessments, implementation of updates reflecting regulatory developments and guidance, cooperation with third-party audits when required by regulation, and transparent reporting of material system changes to users and regulators as appropriate.

A11. Contact and Support

For questions about our AI systems or this transparency statement, please contact info@equal-care.org with the subject line "AI Transparency."

To report errors, biases, or concerns about AI outputs, please contact info@equal-care.org with the subject line "AI Error Report."

For requests for detailed technical documentation beyond what is provided in this Annex, please contact info@equal-care.org with the subject line "Technical Documentation Request."