Impact and Community Programs

HEALTHCARE

In partnership with universities from UK and South Korea, and hospitals and research centres from Bangkok and Seoul, we are advancing two healthcare programs that are leveraging biotechnology and traditional medicine plant-based treatment on developing new drugs, therapies, and diagnostic tools to create targeted cancer therapies, vaccines for infectious diseases, and personalised medicine and wellness programmes based on genetic information.

One of these impact programs focus on the immunotherapy, harnessing the body's immune system to recognise and destroy cancer cells, including immune checkpoint inhibitors, CAR-T cell therapy, cancer vaccines, and cytokine therapies. Propelled by its success in home therapy and subsequent clinical trials, this cancer program got the attention of other government-funded institutions. The biotech utilises genomic analysis techniques to better understand the genetic mutations driving cancer growth. This includes whole genome sequencing, transcriptomics, and proteomics to identify new drug targets and biomarkers for early detection and prognosis.

AGRICULTURE

Part of a group of companies and research institutions from Europe and Australia, we are working on enhancing crop traits to help address global food security issues. This biotech impact program addresses the development of genetically modified crops with improved yields, resistance to pests, and tolerance to environmental stresses like drought.

A major partnership which delivers deep-social and economic value, has been established with Syngenta, a global agricultural company that specialises in seeds and crop protection products. Our joint focus is on developing innovative solutions to help farmers increase crop yields and improve quality while conserving resources and protecting the environment.

An additional green impact program, in collaboration with a group of companies from UAE and Germany is developing biofuels and SAF from algae as alternatives to fossil fuels, reducing carbon emissions and reliance on non-renewable resources. A high-efficient technology, it is now in the commercialisation phase with off-take secured from Maersk, Lego, and IKEA. By-products are also commercialised with customers throughout SE Asia.

Carbon farming and sequestration is recognised as a critical element of almost every Government’s net-zero strategy. However, to date only some Governments have enacted substantial policies to realise these ambitions and link them to the required scale and urgency of industrial decarbonisation policies.

A focus on recognising and valuing co-benefits of carbon farming projects is emerging across all jurisdictions. This has been a way for Governments to frame their carbon farming offering and meet broader environmental, indigenous and economic goals. While some Governments have launched initiatives to grow and leverage private finance and investment, many opportunities remain. This includes ensuring there is sufficient demand for land-based, crops and forest, carbon credits.

Australia has established a framework and oversight to foster a world-leading carbon farming industry. The policies of Queensland in particular, and the resources it have made available acknowledge the significant role carbon farming can play in achieving state emissions reduction commitments.

Alongside our Indigenous Australian corporate partners in Queensland, we have invested in mapping and developing resources around carbon stock and potential. This forms a solid foundation for carbon farming activities, doubled by ongoing work to expand and link national to ecosystem level data mapping and verification.

ECO-MINING

Artificial Intelligence in mining has the potential to revolutionise the industry by discovering untapped critical metal deposits at half the cost and in a fraction of the time required for traditional prospecting and exploration, while increasing productivity and improving safety. By leveraging the power of artificial intelligence and machine learning, mining companies can optimise their operations and remain competitive in an increasingly challenging market.

Proprietary AI technology is applied to monitor and manage the environmental impact of mining activities. This includes using remote sensing data to monitor vegetation, water quality, and land use changes. Artificial Intelligence algorithms can also predict the environmental impacts of mining operations and recommend mitigation measures to minimise ecological damage.

These algorithms are used to analyse geological data, satellite imagery, and historical exploration data to identify potential mineral deposits. They can detect patterns and anomalies in vast amounts of data, helping geologists pinpoint areas with high mineral prospects. Furthermore, by taking into account factors such as geological conditions, ore quality, and equipment availability they are determining the most efficient extraction methods, designing mine layouts, and optimising the sequencing of mining operations – maximising productivity, and minimising costs and time.