AI-driven evolutionary tools for plant breeding that develop predictive breeding tools using AI and evolutionary algorithms, enabling plant breeders to select and cross plants with specific traits, improving crop adaptation, yield, nutrition, and flavor

Plant-microbe interaction optimization tools that use AI-driven approaches to study and optimize plant-microbe interactions that can improve plant health, nutrient uptake, and resilience

Engineered plants for industrial processes that are genetically altered to serve as feedstocks for industrial processes, providing sustainable and renewable resources for various industrial applications and reduce the environmental impact of industrial processes

Trait discovery platforms that utilize genetic data and ML to identify high-value genetic traits that improve crop yields to increase global food security

Computational biology tools for agricultural and life sciences products that use ML to design and optimize life science products such as microbe-based products, small molecules, and genetic components

Gene-edited plant traits for seed companies that enhance crop productivity, sustainability, resistance to pests and diseases, efficient fertilizer use, and adaptability to changing climates

AI platforms for genetics and phenotype analysis of plants to identify genetic markers associated with desired traits, allowing for precision breeding for traits such as drought tolerance or disease resistance

Metagenomics analytical tools for plant protection that leverage ML to study plant microbiomes and identify microorganisms that protect plants from diseases and pests

Micro-organism engineering to produce fertilizer, reducing reliance on synthetic nitrogen fertilizers

Protein ingredients that change the texture of alternative meats to mimic the texture and sensation of real meat

Cultured meat and poultry such as beef, steak, chicken, and other meats that are grown via tissue engineering and cell cultures

Dairy alternatives made from microbiota using fungi in bioreactors in place of proteins from bovine milk

Precision fermentation technology used to create animal-free dairy and meat products

Silk protein-based food coatings for the preservation of meats and produce

Aquaponics for vertical farming with fish manure serving as fertilizer for crops, creating a combined fish farm

AI-enhanced indoor farming that optimize inputs and improve yields in the indoor cultivation of leafy greens

Advanced indoor farming solutions such as vertical farms that integrate ML and plant biology to grow traceable, safe food that is free from pesticides and uses less water and land than traditional agricultural process, while maintaining close proximity to consumers

Livestock feed production using indoor farming in automated, hydroponic-controlled environments that reduce adverse environmental impacts

Year-round vegetable production in greenhouses situated on rooftops for uninterrupted vegetable cultivation

Microbe-based protein derived from fungi using fermentation technology, to reduce the water, land, and energy required to make edible protein

Proteomics-driven drug discovery tools that use mass spectrometry and large protein-oriented datasets to build ML models that identify a wide range of proteoforms and predict which targets are most valuable for drug discovery

Metabolomics tools for drug discovery and diagnosis that focus on metabolite identification and biomarker discovery, aiding in the understanding of complex diseases

AI-driven genetic disease therapeutic development tools that analyze genetic and medical data to identify RNA therapeutics for genetic diseases using deep learning to predict the most effective treatments for individual patients

Genomic and radiomic diagnostic software that combines genomics, radiomics, and AI to to detect genomic variants which clinicians can use to improve diagnosis and treatment planning for patients

AI diagnostics for early disease detection that utilize advanced computational techniques and ML to detect disease biomarkers and identify complex cancer patterns through mulitomics analysis

Metabolomics tools for biomarker identification that decipher chemical signals from genetic and non-genetic factors to reveal biological pathways and identify biomarkers for monitoring changings in those pathways

AI platforms for RNA and DNA therapies that leverage graph knowledge technology and ML to discover and design genomic therapies by optimizing payload and vector design, assessing genotoxicity risks, and identifying optimal experimental protocols for RNA and DNA therapies

Generative biology platforms that generalize rules for protein function in order to generate new therapeutics

Genome-engineering technologies that build therapeutics which can be written into the genome via insertion, deletion, or replacement

Immunomodularity therapeutics developed by the combination of multi-omic single cell analysis, functional genomics, and machine learning

Engineered cell libraries that offer advanced, customized genomic engineering capabilities to make the CRISPR-editing process more effective

Continuous metabolomic monitoring for diseases such as diabetes, with nano-sensing technology and electromechanical systems that monitor metabolomic markers, providing real-time data to help patients manage their conditions

Microrobots for central nervous system disorders that are controlled using remote magnetic forces and can deliver biologics and small molecule therapeutics with precision to specific areas of the brain or nervous system

Bionauts for surgical and therapeutic applications that can potentially transform minimally invasive procedures such as surgeries and ongoing monitoring to deliver treatments with high precision

Soft brain implants for neurological disorders that treat neurodegenerative disorders by tracking brain signals and communicating with the nervous system to provide tailored therapy

AI-powered personalized hearing aids that adapt to individual preferences and environments

Quantum-driven drug discovery tools that combine AI with quantum-based physics to scale drug discovery, predict pharmaceutical success, and generate biological data with quantum algorithms to expand the space of therapeutic candidates

AI-driven small molecule discovery tools that utilize convolutional neural networks and chemical libraries to discover new small molecule medicines

Neurodegenerative disease drug discovery tools that leverage AI to predict high-confidence targets and drugs, with a focus on precision drug discovery for neurological conditions

AI tools for medicinal chemistry including generative modeling solutions that use AI to design small molecules for specific protein targets

Computational biology services such a molecular dynamics simulation, virtual screening, quantum chemical calculations, and protein structure modeling to support drug discovery

Tools for spatial biology and biomarker discovery that analyze images utilizing deep learning models, combining spatial and clinical data to discover biomarkers

Federated learning tools for biomarker discovery that unlock insights from siloed patient datasets, identifying novel biomarkers to accelerate drug discovery

Quantum physics-enhanced drug discovery tools that employ both quantum and semi-classical physics modeling of protein drug interactions with AI-based optimization to explore a larger portion of the chemical space of novel drug leads

Integrative multiomics drug discovery tools that combine genetics, single cell profiling, and functional genomics data with ML to understand the complex relationships between genes, proteins, and drugs

Immune-modulatory therapies for age-related diseases that clear senescent cells through temporary activation of immune cells

Mitochondrial mutation reprogramming technologies that reprogram mitochondrial DNA damage to treat diseases

Tools for determining biological age using measurements of chronic inflammation markers

Cellular rejuvenation tools that aim to halt or reverse the aging process by focusing on cellular rejuvenation programming to restore cell health

Stem cell activity regulation therapies that screen small molecules to regulate stem cell activity, with applications in treating degenerative diseases such as osteoarthritis, tumors, Alzheimer’s disease, and pulmonary fibrosis

Tools for discovering the molecular basis of cellular immortality and regeneration with potential applications in treating cardiac conditions, scars, and age-related metabolic disorders

Placenta-derived cells for use in regenerative health to target cancer, infectious diseases, and degenerative conditions

Cellular reprogramming, autophagy, and plasma-inspired therapeutics that leverage autophagy modulation and cellular reprogramming to address various aspects of longevity and health

Longevity therapeutics for dogs that aim to extend the lifespan of dogs by quantifying and addressing the aging process in canines

Biological cloud solutions for multiomics data that offer users code-free biocomputing capabilities, enabling the storage, processing, analysis, and visualization of multiomics data to aid in gene editing bioinformatics

AI-driven drug discovery platforms for large biological datasets that utilize AI, experimental biology, and automation to discover novel therapies at scale

Collaborative life sciences cloud software that facilitates DNA sequence editing, experiment design and execution, data analysis, and research sharing, utilized to accelerate research in CRISPR gene engineering, cell therapies, and discovery of biomaterials

Low-code cloud infrastructure for life sciences research that connects applications, ingests data, builds pipelines, and enables scientists and bioinformaticians to write real-time integrations with whole-lab automation

Digital benches for multiomics analysis that provide cloud-based platforms scientists can use to unify their workspaces and design, execute, and iterate through multiomics analyses, particularly for therapeutic discovery

Biologics discovery platforms that enable wet-lab scientists to analyze antibody and peptide sequences alongside functional assay data on which bioinformaticians can deploy their own code and workflows

AI algorithms for protein design on platforms that assist biologists in designing improved proteins using prediction algorithms and AI suggestions that predict the 3D structure of proteins, and can generate new sequences

Product design and development platforms for biological products that integrate experimental protocols, proprietary datasets, and algorithms to accelerate the design and development of biological products

Cloud-connected bioreactors that allow researchers to perform cell culture experiments with fewer constraints and more flexibility

Telemedicine and remote care platforms that connect patients with healthcare providers via web and mobile apps, offering primary care, behavioral care, and chronic pain management remotely

Remote rehabilitation and physical therapy platforms that allow physical therapists to provide personalized therapy through sensor technology and machine learning predictions

Health tracking and symptom management platforms that allow individuals to manage their health and track symptoms over time, using AI to provide insights and recommendations for improved self-care

Patient engagement and communication platforms that employ AI to personalize and automate communication with patients through multichannel messaging

Clinician workflow optimization solutions that streamline and automate clinicians’ non-patient-facing tasks

Medical imaging data management and analysis tools powered by AI that help standardize, protect, integrate, and analyze medical image data to improve diagnostic accuracy and efficiency

Operational efficiency solutions for healthcare organizations that help healthcare organizations improve operations in revenue collection and patient experience

Cardiovascular disease diagnosis and treatment software that aids doctors in the interpretation of ECGs and the diagnosis of cardiovascular disease using AI, enabling early intervention

Ophthalmology and eye disease detection platforms that use AI to analyze retinal images, using deep learning to screen for eye diseases, providing early detection and intervention

Neurological disease prediction and diagnosis solutions used for digital cognitive assessments to predict the occurrence of and diagnose neurological diseases such as Alzheimer’s

Radiological pathology tools that use AI to assist radiologists by identifying abnormalities in scans

Cancer screening and treatment solutions that improve immunotherapy efficacy by predicting treatment responses and detecting early-stage cancer by analyzing MRI scans

Central nervous system disease diagnosis tools that use AI to analyze CT, MRI, and PET scans in the diagnosis of central nervous system diseases

Dental assessment and diagnosis tools that use imaging and ML to investigate dental issues such as impacted teeth, bone loss levels, cavities, and tooth decay

Nanotechnology-enhanced surgical imaging solutions that utilize fluorescent probes to help surgeons visualize tumors during surgery, aiding in the precise excision of cancerous tissue while sparing healthy tissue

Proteomic analysis tools that utilize nanotechnology, spectral multiplexing, and automation to quantify proteins with the aim of understanding, detecting, and treating disease and providing personalized medicine

Biomimetic nanoparticle cancer therapeutics that use biomimetic cell membrane-coated nanoparticles for cancer treatment by delivering drugs such as chemotherapy or immunotherapy agents, potentially enhancing the effectiveness of cancer therapies while minimizing side effects

Non-invasive cancer diagnostics that combine ML with extracellular vesicle detection to create non-invasive tests for cancer, with early detection and monitoring capabilities

Mucosal vaccines that employ nano-sized emulsion drops to treat respiratory infections

Nanoparticles for infection control that possess anti-inflammatory, tissue regenerative, and antimicrobial properties, used to slow the spread of infections and accelerate wound healing by mimicking human enzymes to stimulate tissue formation

Nanoparticle-based targeted therapeutics that use nanoparticles to target specific diseases and conditions, improving drug delivery precision and reducing side effects

Monitoring devices for clinical trials that decentralize the clinical trial process, allowing patient participation regardless of geographic area

Behavior and health monitoring devices that use gesture detection to monitor behaviors such as medicine intake, hydration, fall detection, heart rate, sleep patterns, walking patterns, and activity levels, enabling remote patient monitoring and early intervention

Blood glucose tracking devices that provide users feedback on food choices, displaying their blood sugar response to foods eaten, exercise, and sleep habits

Arrhythmia detection devices that record and analyze EKGs to provide real-time detection of cardiac issues

Neurological wearable devices that monitor EEGs and detects seizures or other neurological events

Digital therapeutics for neurological rehabilitation that provide at-home rehabilitation exercises personalized to patients, aiding in recovery from stroke, traumatic brain injury, and spinal cord injury

Precision neurology platforms that aggregate brain data to enable new approaches in treating neurodegenerative and psychiatric diseases

AI-powered EEG analysis and diagnosis platforms that apply algorithms to identify neurobiomarkers

Portable brain injury diagnosis tools that rapidly scan for, diagnose, and monitor traumatic brain injuries in any location

Mind-controlled neuromodulation tools that interpret signals from the brain, allowing users to operate technologies such as smartphones using their thoughts

Prosthetic limbs controlled by muscle signals from residual limbs, offering improved dexterity and functionality for amputees

Brain-computer interfaces for communication that allow users to control software and devices with their brain activity, enabling individuals with speech impediments and mobility limitations to interact with the digital world

Neural interfaces coupled with AI platforms that can analyze neural data in real-time, as it travels from the brain to the body, paving the way for software-based neural therapeutics

Non-invasive treatments for the cognitive and functional symptoms of Alzheimer’s and other neurodegenerative diseases using visual and auditory stimulation

Precision brain stimulation therapies for the treatment of memory loss, using AI to identify brain activity patterns that predict memory performance