Researching the next breakthrough
Actively Deployed
Parent Mediated ABA Therapy
Need
Families wait months or years for ABA therapy.
Product
Forta empowers caregivers with Parent ABA Training. Forta’s app uses custom software and AI to help improve the quality and outcomes of the treatment plan, including Spectrum Score.
Clinical outcomes of ASD application
Our peer-reviewed study published in the Cureus journal shows 76% of clients saw an improvement in therapy goal achievement using Forta’s tech enabled clinical model, compared to a traditional approach
Read the study
2x
increase in utilization
127%
improvement in therapy goals in the first 20 weeks
% of clients receiving full dose* of ABA
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*A full dose of ABA is considered to be 80% or more of the clinically prescribed hours of therapy
**Traditional model from literature on ABA utilization
***Includes Forta clients that have received at least 3 months of therapy
**Traditional model from literature on ABA utilization
***Includes Forta clients that have received at least 3 months of therapy
Clinical data of parent supported ABA
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- Dataset: 30 Forta Clients undergoing ABA via the parent supported model.
- Analysis: Examined client's progress by success rate on each goal and focus area in treatment plan.
- Key Results:
- Forta parent supported ABA leads to much higher utilization than traditional.
- Forta's parent supported ABA are 2.5 times more likely to receive full dose* of therapy compared to traditional therapy (70% vs. 28%)
- Forta parent supported ABA shows strong improvements across all plan intensities and all age groups. 35/40 of analyzed cohorts showed at least moderately strong improvements.
- Status: The paper has been submitted and is in the peer review process.
Goal improvement pre vs post Forta model
Early data shows improved outcomes
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- We examined the outcomes of patients prior to and subsequent to Forta therapy delivery.
- We observed that a majority of the patients showed significant outcome improvement following the implementation of the Forta care delivery model (n = 25)1.
- Key Results:
- 2x increase in utilization2
- 127% improvement in goals in the first 20 weeks
(1) Publication referenced: Garikipati A, Ciobanu M, Singh N, et al. (March 27, 2023) Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment. Cureus 15(3): e36727. doi:10.7759/cureus.36727
(2) Enhanced consistency in monitoring and delivery of ABA therapy can improve outcomes as measured by improved attainment of goals
Empowering
through
knowledge
Our approach
At Forta, we take a first principals approach to help underserved patient populations achieve the best possible outcomes.
Our scientific process
Identify gaps in current and potential outcomes for a given condition
Research patient breakthroughs with AI
Develop its suite of clinical algorithms
Implement discoveries in studies to prove results
Deploy solutions directly
Our Research
We create revolutionary algorithms to deliver life changing results to patient populations
Exploratory research
AI Doctor
Need
The US is facing a potential shortage of over 55,000 physicians by 2033, and current wait times for patients to be seen by a physician receive care are increasing.
Research
Portal to serve patients as their primary care physician with triage and intake. Large language model (LLM) based chat interface.
Research & development
Alzheimers prevention
Research
The Alzheimer's progression prediction algorithm (APPA) is a machine learning algorithm to extrapolate potential patient results based on similar data.
Results
- Prediction of progression from Mild Cognitive Impairment (MCI) to Alzheimer’s Disease (AD) in 12-48 month lookahead window.
- Use chart data and neuropsychological assessments as input features and neurologist diagnosis of AD as gold standard
- Achieved 37% improvement compared to care MMSE assessment
Research & development
Diabetes complications prediction
Research
The Diabetes Complications Prediction (DiaCoP) algorithm is modeling the potential edge cases and helping health care professionals detect potential health issues.
