Release v1.0.0: Introducing MTB++ – Enhanced AI-driven Tuberculosis Resistance Profiling for Multiple Antibiotics

We are excited to announce the release of MTB++ version 1.0.0 – an advanced AI-based Mycobacterium Tuberculosis resistance profiler. This release incorporates cutting-edge technologies to enhance accuracy and efficiency in tuberculosis resistance profiling to 3 groups of antibiotics, including Amikacin, Bedaquiline, Clofazimine, Delamanid, Ethambutol, Ethionamide, Isoniazid, Kanamycin, Levofloxacin, Linezolid, Moxifloxacin, Rifampicin, Rifabutin; and 3 antibiotic families including Rifampin, Aminoglycosides, Fluoroquinolone.

Key Features:

• Advanced AI algorithms for more accurate resistance profiling.
• Efficient 31-mer feature extraction; the technique is known as SBWT: paper
• Improved performance and efficiency in analysis.
• User-friendly interface for seamless utilization.

For more details, please refer to the release notes.

Thank you for choosing MTB++.