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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS for Amyloid β Pathology Research
#====================================================================================
# This code provides a production-ready FastAPI application with Pydantic v2 for 
# managing research data on the risk of transmission of amyloid β pathology via 
# transfused blood products.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, Field
from typing import List, Optional
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

# Define the database connection
SQLALCHEMY_DATABASE_URL = "sqlite:///amyloid_beta_pathology.db"

# Create a database engine
engine = create_engine(SQLALCHEMY_DATABASE_URL)

# Create a configured "Session" class
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Create a base class for declarative class definitions
Base = declarative_base()

# Define the ResearchData model
class ResearchData(Base):
    """Research data on the risk of transmission of amyloid β pathology via transfused blood products."""
    __tablename__ = "research_data"
    id = Column(Integer, primary_key=True

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