Clinical Trial Treatment Response

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

# Clinical trial data - drug efficacy over weeks
weeks = np.array([1, 2, 4, 8, 12, 16, 20, 24])
treatment = np.array([15, 28, 42, 58, 68, 74, 78, 80])
placebo = np.array([12, 14, 16, 18, 19, 20, 21, 21])
treatment_err = np.array([3, 4, 5, 6, 5, 4, 3, 3])
placebo_err = np.array([2, 2, 3, 3, 3, 3, 2, 2])

fig, ax = plt.subplots(figsize=(10, 6), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

# Plot with error bars
ax.errorbar(weeks, treatment, yerr=treatment_err, fmt='o-', color='#27D3F5', 
            ecolor='#27D3F5', elinewidth=1.5, capsize=4, capthick=1.5,
            markersize=8, markerfacecolor='#27D3F5', markeredgecolor='white',
            markeredgewidth=1, label='Treatment Group', linewidth=2, alpha=0.9)

ax.errorbar(weeks, placebo, yerr=placebo_err, fmt='s-', color='#F5276C', 
            ecolor='#F5276C', elinewidth=1.5, capsize=4, capthick=1.5,
            markersize=7, markerfacecolor='#F5276C', markeredgecolor='white',
            markeredgewidth=1, label='Placebo Group', linewidth=2, alpha=0.9)

ax.fill_between(weeks, treatment - treatment_err, treatment + treatment_err, 
                color='#27D3F5', alpha=0.1)
ax.fill_between(weeks, placebo - placebo_err, placebo + placebo_err, 
                color='#F5276C', alpha=0.1)

ax.set_xlabel('Weeks', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Response Rate (%)', fontsize=11, color='white', fontweight='500')
ax.set_title('Clinical Trial: Treatment vs Placebo Response', fontsize=14, 
             color='white', fontweight='bold', pad=15)

ax.legend(facecolor='#1a1a2e', edgecolor='#333', labelcolor='white', fontsize=10)
ax.tick_params(colors='#94a3b8', labelsize=9)
ax.set_xlim(0, 26)
ax.set_ylim(0, 100)
ax.grid(True, alpha=0.2, color='#4a4a6a')
for spine in ax.spines.values():
    spine.set_color('#333333')

plt.tight_layout()
plt.show()