Insilico Medicine Receives FDA Orphan Drug Designation for Generative AI Discovered and Designed Drug for Idiopathic Pulmonary Fibrosis

Insilico MedicineInsilico Medicine ("Insilico"), a clinical-stage end-to-end generative artificial intelligence (AI)-driven drug discovery company, today announced that the U.S. Food and Drug Administration (FDA) has granted Orphan Drug Designation to INS018_055 for the treatment of Idiopathic Pulmonary Fibrosis (IPF).

INS018_055 is a potentially first-in-class small molecule inhibitor discovered by Insilico's generative AI platform, Pharma.AI, for the treatment of idiopathic pulmonary fibrosis (IPF), a chronic lung disease that causes progressive and irreversible decline in lung function and represents a significant unmet medical need worldwide. As the disease progresses, damage to the patient’s lungs increases and respiratory function is compromised, often with severe consequences.

"We are pleased to announce that Insilico has achieved numerous drug discovery milestones and provided new clinical hope using generative AI," said Alex Zhavoronkov, Ph.D., Founder and CEO of Insilico Medicine. "We are progressing the global clinical development of the program at top speed to allow patients with fibrotic diseases to benefit from this novel therapeutic as soon as possible."

In February 2021, Insilico Medicine nominated INS018_055 as the preclinical candidate (PCC) for IPF. This is the first wholly owned program of the Company in which AI was used both to identify a novel target and to generate novel small molecules. The enrollment for the INS018_055 Phase I clinical trial was initiated in New Zealand in February 2022 and in China in May 2022. Both of the clinical trials were completed in 2022. Top-line data from the Phase I clinical trial indicated that the drug candidate has a favorable safety, tolerability, and pharmacokinetic profile. Insilico plans to initiate a global multicenter Phase II clinical trial in early 2023.

"Our commitment to treating patients with idiopathic pulmonary fibrosis is reflected in the FDA’s decision to grant orphan drug designation to INS018_055," said Sujata Rao M.D., Senior Vice President, Head of Clinical Development at Insilico Medicine. "We are working to advance novel treatment for IPF as we continue clinical investigation into this devastating disease."

The FDA's Orphan Drug Designation program supports the development and evaluation of drugs that address rare diseases which affect fewer than 200,000 people in the United States. Receiving orphan drug designation from the FDA facilitates the subsequent development and commercialization of INS018_055 that comes with the designation, including eligibility for federal grants, tax credits for qualified clinical trials, prescription drug user fee exemptions, and a seven-year marketing exclusivity period upon FDA approval.

"INS018_055 is a potential first-in-class drug candidate discovered by Insilico's generative AI platform, Pharma.AI," said Feng Ren, Ph.D., Co-CEO and Chief Scientific Officer of Insilico Medicine. "The FDA's orphan drug designation for the IPF indication is an important milestone in the development of INS018_055. Insilico scientists are now further advancing clinical validation and accelerating the project to meet clinical needs and benefit patients worldwide."

Drug discovery is a lengthy and risky process. Throughout the multi-year AI-powered drug discovery process, Insilico Medicine has recorded and compiled a large amount of documentary footage and multimedia content produced by the Company and its partners worldwide. This footage is now available to documentary filmmaking teams, individual film makers, and students via the Documentary Hackathon ("Docuthon"). Prospective participants are invited to enroll in the Docuthon by submitting their applications via the Docuthon page.

About Insilico Medicine

Insilico Medicine, a clinical stage end-to-end artificial intelligence (AI)-driven drug discovery company, is connecting biology, chemistry, and clinical trials analysis using next-generation AI systems. The company has developed AI platforms that utilize deep generative models, reinforcement learning, transformers, and other modern machine learning techniques for novel target discovery and the generation of novel molecular structures with desired properties. Insilico Medicine is developing breakthrough solutions to discover and develop innovative drugs for cancer, fibrosis, immunity, central nervous system diseases, infectious diseases, autoimmune diseases, and aging-related diseases.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...