BUSINESS INSIGHTS, PHARMA TECH
XtalPi Inc. | December 29, 2022
One of the pioneering pharmaceutical technology companies - XtalPi, powered by artificial intelligence (AI) and automation, has recently announced a strategic collaboration with Singapore's national platform for drug discovery and development, the Experimental Drug Development Centre (EDDC), which is hosted by the Agency for Science, Technology, and Research of Singapore (A*STAR). The goal of this partnership is to find novel treatment candidates for non-small cell lung cancer (NSCLC).
“According to Research and Markets, the size of the global market for NSCLC treatments will surpass USD 20 billion by 2027”
Lung cancer is the second-most prevalent cancer worldwide and the leading cause of cancer-related mortality. NSCLC accounts for more than 80% of all lung cancer occurrences, while its incidence continues to rise worldwide. Despite growing interest and investment in drug research, there is a substantial unmet demand for effective targeted therapeutic alternatives for NSCLC patients to improve outcomes.
In this partnership, EDDC and XtalPi will work together to find promising candidates against an NSCLC target chosen by EDDC. XtalPi will use its AI technology, automation platform, and expert domain knowledge. It will also use quantum physics and an AI-driven platform to create and test millions of molecules for the De-novo drug design. Iterations will be used in its robotics-powered synthesis and testing lab to confirm and improve the predicted top-performing molecules with desirable drug properties. EDDC will give helpful information and data about the new NSCLC target, which will speed up the process of finding new drugs and carry the program forward.
XtalPi said in a statement that it is delighted to work with EDDC. It intends to help people all over the world by using AI and automation to improve the speed, size, variety, and success rate of drug research and development. In line with this, EDDC stated that it is excited to collaborate with XtalPi to translate science and research into practical and targeted cancer therapies. Furthermore, EDDC is confident that this collaboration will accelerate the development of much-needed targeted therapies for NSCLC patients due to XtalPi's experience in AI and automation technologies.
XtalPi is a quantum physics-based, AI-powered drug R&D firm aiming to improve the speed, scale, novelty, and success rate of drug discovery. To meet the needs of its clients and partners, the company has offices in China and the United States. Frost & Sullivan cites the company as one of the world's first AI-powered drug R&D companies, with an iterative feedback loop between dry and wet lab capabilities.
BUSINESS INSIGHTS, PHARMACY MARKET
Cellworks Group | January 13, 2023
Cellworks Group Inc., a pioneer in personalized therapy biosimulation, announced the introduction of its precision drug development business units.
These units will use predictive biosimulation to shorten drug development time-to-market and revive previously researched but disapproved pharmaceutical assets.
The two new business units will use Cellworks' computational biology model (CBM) and biosimulation platform to predict responses to pharmaceutical interventions in silico, streamlining the clinical trial by identifying suitable patients more quickly, thereby reducing the time and cost of developing successful pharmaceutical agents.
Cellworks precision drug development: Pre-clinical stage
Companion molecule development: The Cellworks platform can augment a drug's usability by finding companion molecules that improve performance when combined with the investigational agent.
Biomarker development: Cellworks utilizes cell lines and historical patient data to uncover novel biomarkers for investigational agents. This may increase drug success rates by proactively identifying individuals who will respond to an agent.
Indication expansion: By utilizing the Cellworks patient database of 100,000+ omics patient profiles and 1,800 oncology cell lines to examine the agent's effectiveness in different indications, the Cellworks platform can identify additional indications where an experimental treatment may be successful.
Cellworks precision drug development: Clinical stage
Drug revival and repurposing: The platform seeks to anticipate whether certain drugs cause a response, which may be used to identify whether shelved assets can be resurrected via suitable patient selection or the discovery of non-obvious reasons.
Clinical trial biosimulation: Through biosimulation clinical trials, the Cellworks platform may anticipate humans' clinical response to pharmaceutical agents in weeks, yielding critical insight years ahead of a traditional clinical practice.
Cellworks Platform and Computational Biology Model (CBM)
The Cellworks platform biosimulates the impact of specific pharmacological molecules on a given patient or class of patients using the patient's genetic profile. To generate a customized or cohort-specific disease model, multi-omic data from a cohort or patient is fed into the Cellworks computational biology model (CBM).
About Cellworks Group
Cellworks is one of the leaders in precision medicine. The organization assists physicians and payers in navigating the most efficacious, cost-effective therapies for patients. Its primary therapeutic areas are oncology, immunology, dermatology, and infectious diseases. Its one-of-a-kind biosimulation platform is a unified representation of biological information gathered from disparate databases and used to find cures. The company has the world's strongest trans-disciplinary team of molecular biologists, cellular pathway modelers, and internet software technologists working towards a common goal, i.e., taking on significant diseases to improve patients' lives.
BUSINESS INSIGHTS, PHARMA TECH
Koneksa | January 18, 2023
On January 17, 2023, Koneksa, a healthcare technology company that develops evidence-based validated digital biomarkers, announced the beginning of a clinical study that will compare the treatment effect of at-home mobile spirometry using digital biomarkers versus in-clinic spirometry in patients who have moderate asthma and are receiving long-acting beta-agonist (LABA) treatment.
The LEARN study is a single-arm interventional trial that compares the identification of treatment effects in people with moderate asthma using at-home mobile spirometry by utilizing an ultrasonic spirometer and a smartphone compared to in-clinic spirometry. Up to 60 people with mild, uncontrolled asthma who already use inhaled corticosteroids (ICS) will take part in the study. Besides, it will also cover those who need to take LABA medication for a six-week treatment period.
In-clinic spirometry can be performed at home with the same or higher accuracy compared to in-clinic and potentially less strain on the patient. The study will analyze the LABA treatment impact in clinic and mobile spirometry along with assessing the association between different readouts of mobile spirometry, in addition to evaluating asthma control as determined by the ACQ-6, a patient-reported outcome questionnaire. Other goals include assessing patient and site-specific satisfaction with mobile spirometry technology.
Chris Benko, CEO & Founder, Koneksa, stated, “This study builds on Koneksa's prior work demonstrating that mobile spirometry has the potential to detect clinically meaningful changes in very small cohorts of asthma patients on standard of care.” He further added, “The LEARN study will evaluate whether at-home mobile spirometry can detect treatment effects of a known positive control (LABA) in a significantly smaller population than would traditionally be assumed for an in-clinic proof-of-concept study.”
(Source – Business Wire)
Based out of New York, Koneksa is a patient-centric digital biomarker firm that develops end-to-end solutions for remotely obtained clinical data to expedite clinical research and guide decision-making in drug development and market strategy for the pharmaceutical and biotechnology industries. It seeks to revolutionize effect detection in clinical research by providing integrated solutions for efficient trial designs that yield more meaningful data. Its evidence-based biomarker solutions allow for more efficient clinical trial designs, allowing novel medicines to reach patients sooner.