Research | Auribus Labs

Research is at the core of our care

The Auribus platform is built on decades of academic research and we're committed towards using our leverage to advance the field. Through the research configuration of Auribus Link, researchers can conduct studies in a variety of areas in hearing rehabilitation.

Unrivaled power, infinite possibilities

Our platform has the ability to meet the diverse needs of researchers with features like customizable data analytics and adaptable reporting tools.

We're eager to collaborate on research

We're investing in the future of hearing health by offering grants to support researchers in licensing our platform for their studies - read more below.

leverage our platform

Accelerating research, making an impact

Auribus Link, our remote patient monitoring dashboard, has a configuration specifically for researchers that centralizes participant management, data collection, and consent handling. We want you to focus on what matters - the research.

Robust analytics engine

With extensive tracking of participant engagement and progress, data is instantly available for in-depth analysis.

Direct-to-user distribution

Deliver your custom content seamlessly to participants worldwide via our user-friendly mobile application, ensuring high engagement and adherence.

our content delivery

A robust content delivery system

We understand that impactful research requires content that is crafted to the specifics of your study. We're committed to working alongside you to develop and deploy customized aural rehabilitation lessons, exercises, and full courses designed specifically to align with your research objectives.

Customizable research modules

Tailor the content and exercises to fit specific research needs, enabling precise experimentation and study design.

Extensive content range

Build from individual lessons to full courses, with the ability to incorporate varied materials like music and videos.

Multimedia material support

We support many content formats such as audio exercises, spoken word content, and music to facilitate engaging, multi-sensory participant experiences, providing the flexibility needed for nuanced research.

Research oppurtunities and ideas

Here are some ideas of what's possible by leveraging our platform

Efficacy of auditory training

Evaluate the efficacy of an auditory training program in improving speech perception, phonetic discrimination, and auditory comprehension among users with cochlear implants, hearing aids, and auditory processing disorders.

Daily check-in data analysis

Analyze daily check-in data to identify trends in user-reported progress and challenges.

Longitudinal study on aural rehabilitation

Track the progress of cochlear implant users over a two-year period to measure sustained improvements in speech perception and communication skills, correlating to app usage.

Cognitive benefits

Measure changes in cognitive functions such as memory, attention, and executive function before and after trianing.

Noise management for hearing aid users

Investigate how varying levels of background noise influence the acquisition of auditory skills.

Investigating cognitive decline through auditory training

Determine if auditory training can mitigate cognitive decline in older adults with hearing loss.

Adaptive learning algorithms

Compare the effectiveness of differing adaptive learning algorithms that personalize training activities based on real-time performance data. Measure the impact of adaptive vs. static training programs.

Neuroplasticity and auditory training

Study the neurplastic changes in the brain associated with auditory training using fMRI or EEG.

Emotional tone recognition development

Measure the development of emotional tone recognition skills in users by tracking their ability toidentify emotional cues in speech over time.

Auditory memory retention

Test the ability to recall auditory seuqences over varying time intervals.

Patient notes sentiment and topic analysis

Use natural language processing (NLP) techniques to categorize sentiments as positive, negative, or neutral. Examine how sentiment trends correlate with patient progress, engagement levels, and therapy outcomes.

Predictive modeling of user engagement and success

Use machine learning algorithms to identify patterns and predictors of high and low engagement. Validate the accuracy of the models by comparing predicted engagement levels with actual user behavior.

Research is at the core of our care

Accelerating research, making an impact

A robust content delivery system

Here are some ideas of what's possible by leveraging our platform

Submit a research proposal