AI-DRIVEN PRE-SYMPTOMATIC DIAGNOSTICS

We Detect Autoimmune
Signals Early

A breakthrough blood test for early detection of autoimmune pregnancy risk. Transforming unexplained infertility into a manageable medical condition.

40% Cost Reduction vs ELISA
20x Faster Diagnostic Path
15-20% Higher IVF Success Rate
THE CLINICAL ROADBLOCK

The Hidden Threat in
Pregnancy Loss

Up to 2-5% of women suffer from recurrent miscarriages driven by "alloimmune rejection" — a critical condition where the mother’s immune system mistakenly identifies the pregnancy as a foreign threat and attacks it.

Standard prenatal and diagnostic tests completely miss this. They focus strictly on the baby’s DNA or detect protein markers when it is already too late. They fail to screen the mother’s active immune response on time.

⚠️

Standard DNA Failure

Legacy diagnostic methods evaluate genetic factors but remain completely blind to pre-symptomatic maternal immune hostility.

💵

$10k – $20k

Average financial loss per patient on failed, blind IVF cycles that could have been prevented with proper immune screening.

🧠

Severe Trauma

Unexplained infertility causes deep psychological devastation for aspiring parents due to a lack of clear answers from clinicians.

THE INNOVATION

How It Works:
Predicting Rejection Before It Starts

Protthera replaces the uncertainty of unexplained IVF failures with clear, AI-driven immune screening that identifies biological risks on a pre-symptomatic level.

01

Simple Blood Draw

Raw biological sample collection. 100% non-invasive protocol with zero need for painful tissue biopsies.

02

Identify CICs

Our proprietary ML platform identifies specific circulating immune complexes associated with trophoblast hostility.

03

Improve Outcomes

High-sensitivity detection of immune risks before any clinical symptoms occur. Turn unexplained infertility into a manageable medical condition.

VALUE PROPOSITION

Unmatched Precision,
Fraction of the Cost

Instead of searching for a single, isolated biomarker, Protthera analyzes the entire proteomic environment for just $600. Our machine learning platform maps Molecular Patterns Associated with Autoimmune Damage (MPAAD) instantly.

40%

Direct cost reduction for the patient compared to traditional screening tools.

20x

Faster diagnostic timeline for clinicians to define target therapy protocols.

🔬

High Accuracy vs Legacy

Protthera delivers ultra-high specificity and sensitivity that legacy ELISA methodologies simply cannot match.

Legacy ELISA Tests Market cost: ~$1,000
Limited Specificity
Protthera ML Platform Market cost: $600
Maximum Sensitivity
FUTURE OF HEALTHCARE

Pregnancy is Only
The Beginning

The exact same machine learning technology we use to protect pregnancies can detect over 250+ autoimmune and immune-mediated conditions before clinical symptoms even appear.

"Once we identify the molecular signature for one condition, our predictive database grows exponentially."

We are moving global healthcare from reactive, late-stage treatment to proactive, precision prevention.

CURRENT LIVE PHASE

Pregnancy Risk

Alloimmune rejection screening & IVF cycle success optimization.

R&D PIPELINE

Neurodegenerative

Early screening pattern detection for Alzheimer’s and cognitive immune-mediated decline.

R&D PIPELINE

Metabolic & Oncology

Identifying early pre-symptomatic patterns for Diabetes and specific immune-linked oncology risks.

250+

Immune-mediated diseases targeted for platform scaling

NEXT MILESTONES

Future & Roadmap

Our immediate 6-month R&D milestones focused on clinical validation, AI database scaling, and market entry pipelines.

PHASE 1 Clinical Validation

50-Patient Pilot

Completion of our first 50-patient clinical pilot aiming at a strict target of >90% test accuracy.

PHASE 2 Core Platform

AI Model Expansion

Training and refining our ML pattern recognition database on specific pregnancy loss signals.

PHASE 3 Commercial Pipeline

LOI Deployment

Securing signed Letters of Intent (LOI) with major regional laboratory chains for commercial Model A infrastructure deployment.

EXPERTISE

Meet Our Team

A powerful synergy of clinical innovation, biochemistry, machine learning, and international corporate management.

OD

Oleg Darashkevich, PhD

Clinical Innovation Lead

35+ years of distinguished experience in clinical cardiology and medical innovations.

MN

Maksim Navakouski, PhD

Biochemistry Lead

23 years of deep general biochemistry research and laboratory expertise.

NA

Nadezda Akmanova

Chief Financial Officer

Experienced CFO with a solid 24-year history of leading operations in the finance industry.

MB

Miroslav Benčo, PhD

ML & Pattern Recognition

20 years of core expertise in machine learning and advanced pattern recognition systems.

AG

Anton Gakhovitch

CBDO & Project Management

10 years in project management, 4 years as CBDO, and 4 years specialized in data analysis.

MNa

Mariya Nasledysheva

Management & Comms

13 years of leadership in cross-cultural communication and strategic operations.

TD

Tomas Dapšauskas

PR & Facilitation

10+ years of proven experience in strategic corporate education and public relations.

Key Scientific & Innovation Advisors

MD

Prof. Ing. Milan Dado, PhD.

Research & Innovation Advisor

Full Professor at the Faculty of Electrical Engineering and former rector of the University of Zilina. Extensive leadership experience in European research, ICT, intelligent transportation systems, and innovation programmes.

✉️ milan.dado@uniza.sk
SM

Prof. Ing. Stefan Medvecky, PhD.

Scientific & Innovation Advisor

Research leader in applied mechanical engineering, digital design, technical innovation, and technology transfer. Extensive experience in industrial R&D, competitiveness analysis, advanced materials, and manufacturing systems.

✉️ stefanmdvck@gmail.com

Strategic Advisors & Advisory Board:

PhD, Gynecologist
Professor at University of Zilina (IT)
Lithuanian Academy of Sciences Academician (Biosensors)
Radiation Ecology & Environmental Adviser at OSCE
Evaluation & Strategic Consultant
COLLABORATION

Academic & Clinical Partners

We collaborate with leading European research institutes and medical facilities to conduct clinical validation and scale our proteomic database.

GYN-FIV Logo

Gynecological Clinic

Slovakia

Primary clinical validation venue for patient group trials and sample monitoring protocols.

MS Lab IBB PAN Logo

Mass Spectrometry Laboratory

Institute of Biochemistry and Biophysics, Poland

Core infrastructure partner for advanced proteomic environment analysis and screening mapping.

University of Zilina Logo

University of Zilina

Slovakia

Academic research collaboration focused on machine learning algorithms and informational technologies.