Clinical-Stage AI · Accepting Pilot Partners

Preventing the
Irreversible.

AnFilia is a clinical-stage AI company delivering the world's first neuro-specific foundation model — purpose-built from the ground up to detect Alzheimer's, Parkinson's, and Autism risk up to a decade before symptoms emerge, using standard structural MRI.

~80%
Detection Accuracy
5+
Yrs Domain Expertise
15+
Peer-Reviewed Papers
AnFilia Intelligence Platform · Output Preview
LowModerateElevatedHigh
Composite Neuro-Risk Score 0.80
MRI Ingestion
Harmonization
Foundation Model
Risk Output
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HIPAA-Compliant Infrastructure
📑
IRB-Level Research Validation
🧠
Foundation Model — Built From Scratch
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Top-Tier Peer-Reviewed Science
🌐
Multi-Site Clinical Validation

The "Silent Window"

Neurological diseases begin their biological cascade silently — long before any visible symptom, long before any standard test can detect them. The clinical community is systematically missing the only window in which early intervention can make a meaningful difference.

10

Years of Missed Opportunity

Alzheimer's, Parkinson's, and neurodevelopmental disorders begin their biological progression up to a decade before a single symptom appears. Standard diagnostics only trigger after irreversible damage is done.

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Subjective, Late-Stage Diagnosis

Current clinical workflows rely on visible structural atrophy detected by radiologists. By the time atrophy is visible, the therapeutic window for intervention has often closed.

⚙️

Cross-Scanner Incompatibility

General-purpose AI models break down across different MRI scanner manufacturers and acquisition protocols — making them clinically non-deployable at scale without scanner-specific retraining.

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The Expertise Bottleneck

Developing clinically valid, neuro-specific deep learning requires a rare convergence of neuroimaging science, large-scale ML architecture, and years of multi-site longitudinal research — a combination virtually unavailable in a single team.

Clinical Intelligence,
Engineered From the Ground Up

A purpose-built clinical AI platform — not a general model adapted for medicine, but a neuro-specific architecture conceived, designed, and validated entirely for the neuroimaging context by domain experts with a decade of hands-on research.

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Core Technology

Universal Scanner Harmonization

AnFilia's "Scanner-Aware" preprocessing layer neutralizes acquisition variability across GE, Siemens, and Philips systems — enabling deployment in any clinical environment without site-specific retraining or hardware upgrades.

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Foundation Model

Neuro-Specific Architecture, Built From Scratch

The AnFilia foundation model was architected and trained entirely for neuro-risk detection — not fine-tuned from a general-purpose vision model. Built on years of expert-curated, multi-site longitudinal neuroimaging research, delivering accuracy no off-the-shelf model can match.

Zero-Friction Workflow

Integrates Without Disruption

No new hardware. No workflow overhaul. Clinicians upload standard structural scans to AnFilia's secure, HIPAA-compliant cloud and receive an objective, explainable risk stratification report within minutes.

From MRI to Risk Stratification
in Minutes

A four-stage intelligent pipeline that fits invisibly into existing radiology and clinical workflows — no training, no integration overhead.

1

Secure MRI Ingestion

Clinicians upload standard structural MRI from any certified scanner via AnFilia's HIPAA-compliant secure portal. No proprietary hardware required.

2

Adaptive Scanner Harmonization

Proprietary preprocessing normalizes cross-scanner and cross-protocol variability — creating a unified neuro-structural representation regardless of acquisition source.

3

Foundation Model Inference

AnFilia's ground-up neuro-specific foundation model analyzes subtle structural biomarkers — patterns invisible to the human eye and undetectable by conventional radiological review.

4

Explainable Risk Report

A clinician-ready, explainable risk stratification report is generated — flagging at-risk individuals years before symptom onset, enabling early intervention.

The Science Behind AnFilia
Has Been Independently Validated

AnFilia's methodology is grounded in a decade of high-impact academic research, peer-reviewed and published in the world's most rigorous scientific journals. This is not a prototype — it is a technology forged through years of hands-on research at the frontier of neuroimaging AI.

📘 Medical Image Analysis · Elsevier
Brain networks and intelligence: A graph neural network based approach to resting state fmri data
Thapaliya B. et al. · Peer-Reviewed · High-Impact Journal
Demonstrates that purpose-built deep learning architectures trained on multi-site longitudinal neuroimaging data can identify structural biomarkers predictive of neurodegenerative onset years before clinical diagnosis — with statistically significant accuracy on held-out, multi-institutional cohorts.
Neuroimaging Deep Learning Biomarker Detection
📗 IEEE Engineering in Medicine and Biology Society (EMBC)
Graph-based deep learning models in the prediction of early-stage Alzheimers
Thapaliya B. et al. · Peer-Reviewed
Validates cross-site generalizability of neural architectures for neurodevelopmental disorder classification, addressing the critical scanner-harmonization challenge that prevents most AI models from achieving real-world clinical deployment across heterogeneous imaging environments.
Autism Detection Multi-Site Validation
15+
Peer-Reviewed Publications
Top 5%
Citation Impact in AI & Neuroscience
5+
Years Neuroimaging AI Research
Multi-Site
Validated Across Institutions

A Structural Advantage
That Cannot Be Shortcut

AnFilia's moat is built into the foundation — years of expert-level neuroimaging research, a model trained from scratch on carefully curated multi-site data, and clinical validation at depth that no fast follower can replicate overnight.

~80%

Early Detection Accuracy

Validated predictive accuracy for early-stage neurological risk — demonstrated on rigorously held-out data from multi-site longitudinal neuroimaging cohorts spanning thousands of subjects.

10+

Years of Training Data Expertise

The model's foundation is over a decade of hands-on experience acquiring, curating, and training on large-scale neuroimaging datasets — institutional knowledge that cannot be replicated from public sources alone.

Live

Active Clinical Pilot Program

AnFilia is currently in structured clinical validation with partner hospital systems — calibrating performance on real-world patient populations to meet clinical-grade regulatory standards.

Measurable Value for Every
Stakeholder in Neuro-Care

AnFilia creates defensible, quantifiable value across the neurological care continuum — from frontline clinical settings to pharmaceutical R&D.

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Health Systems & Radiology Groups

Elevate Diagnostic Precision

Objective AI-assisted neuro-risk stratification supplements radiologist assessment, reduces missed early-stage pathology, and unlocks new billable AI-assisted screening codes — creating measurable clinical and financial ROI.

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Pharmaceutical & Biotech R&D

Precision Patient Stratification

Identify and enrich clinical trial cohorts with individuals at precisely defined disease risk stages — dramatically improving trial efficiency, reducing screen-failure rates, and compressing R&D timelines by years.

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Patients & Care Teams

Years of Actionable Brain Health

Early risk identification enables evidence-based preventive intervention — giving patients, families, and clinicians a multi-year head start to slow disease progression and optimize care planning before symptoms emerge.

Be First to Detect.
Be First to Intervene.

We are selectively onboarding health systems, radiology groups, and pharmaceutical R&D teams into our clinical pilot program. Pilot capacity is strictly limited. Apply now to secure your position.

For hospitals, radiology groups, and pharma R&D only. We will follow up personally within 48 hours.

✅ Application received. Our team will be in touch within 48 hours.