PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $10K - $14K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (16)

[1]
A differentiable and uncertainty-aware mutual information regularizer for bias mitigation
2025A. Incremona, A. Pozzi et al.
[2]
Explainable AI for breast cancer risk prediction: evaluating the accuracy-explainability trade-off
2025Sona Barseghyan, Armine Babajanyan et al.
[3]
Screening for early Alzheimer’s disease: enhancing diagnosis with linguistic features and biomarkers
2024Chia-Ju Chou, Chih‐Ting Chang et al.
[4]
Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities
2023Mahboobeh (Mah) Parsapoor (Parsa), Muhammad Raisul Alam et al.
[5]
Investigating sentence processing and working memory in patients with mild Alzheimer and elderly people
2022Maryam Nasiri, Saeideh Moayedfar et al.
[6]
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening
2022R. Penfold, D. Carrell et al.
[7]
Comparing interpretability and explainability for feature selection
2021Jack Dunn, L. Mingardi et al.
[8]
Speaking in Alzheimer’s Disease, is That an Early Sign? Importance of Changes in Language Abilities in Alzheimer’s Disease
2015Gréta Szatlóczki, I. Hoffmann et al.
[9]
The effect of lexical deficits on narrative disturbances in fluent aphasia
2015Sara Andreetta, A. Marini
[10]
Language in the aging brain: The network dynamics of cognitive decline and preservation
2014Meredith A. Shafto, L. Tyler
[11]
Constructing and validating readability models: the method of integrating multilevel linguistic features with machine learning
2014Y. Sung, Ju-Ling Chen et al.
[12]
Computer simulation: a new scientific approach to the study of language evolution
2002A. Cangelosi, Domenico Parisi
[13]
The Word-Frequency Mirror Effect in Young, Old, and Early-Stage Alzheimer's Disease: Evidence for Two Processes in Episodic Recognition Performance
2002D. Balota, G. C. Burgess et al.
[14]
Longitudinal change in language production: effects of aging and dementia on grammatical complexity and propositional content.
2001S. Kemper, M. Thompson et al.
[15]
Why Do Alzheimer Patients Have Difficulty with Pronouns? Working Memory, Semantics, and Reference in Comprehension and Production in Alzheimer's Disease
1999A. Almor, D. Kempler et al.
[16]
The natural history of Alzheimer's disease. Description of study cohort and accuracy of diagnosis.
1994J. Becker, F. Boiler et al.

Founder's Pitch

"Develop an AI tool to detect early cognitive decline using linguistic markers from speech transcripts."

Healthcare AIScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

4/4 signals

10

Series A Potential

2/4 signals

5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/11/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.