Helfie.ai goals to make preventive healthcare accessible to all

Helfie.ai goals to make preventive healthcare accessible to all

to anybody with an concept

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Have you ever ever seen a spot in your pores and skin and puzzled if it may very well be one thing critical? Puzzled in case your cough indicated COVID or simply the run of the mill flu? Want you possibly can verify your blood stress together with your smartphone? Enter Helfie.ai, an rising healthcare startup within the healthcare sector who’re harnessing multli-modal AI algorithms designed to assist sufferers rapidly and precisely verify for a variety of healthcare circumstances. With groups in Australia and Denmark, Helfie.ai goals to make healthcare extra accessible and inexpensive by enabling sufferers to research their well being circumstances from the consolation of their houses, utilizing solely their smartphone.

Helfie.ai is constructing an answer that caters to healthcare suppliers who can arm their sufferers with an software to extra rapidly and precisely entry the care they want Helfie.ai’s AI mannequin analyzes footage, movies, sound recordings, together with face scans by a sufferers’ cell machine to verify for indicators of potential well being circumstances. A few of the diagnoses they help are respiratory well being, vitals, and pores and skin most cancers. The product helps real-time physician help to substantiate the prognosis and prescribe the suitable remedy.

Helfie.ai is a part of the Microsoft for Startups Pegasus program, which gives entry to Azure credit, Go-to-Market (GTM), technical help, and distinctive advantages resembling entry to Azure AI infrastructure on a devoted GPU cluster.

Helfie.ai is leveraging a devoted NDm A100 v4-series cluster in Azure ML to coach and finetune the AI mannequin that energy their answer. Due to the necessity for medical grade predictions a couple of affected person’s well being situation, their flagship product, Very important’s AI, analyzes movies of sufferers faces to judge well being circumstances and make distant assessments.

Through the use of the devoted GPU cluster of A100s, Helfie.ai’s CTO Nikhil Sehgal, stories that through the use of the devoted GPU cluster of A100s, they’ve decreased their mannequin coaching time from two weeks to only two hours.

“The drastic discount in mannequin coaching time is vital for a startup like us, it permits us to construct quicker and get our product into the arms of customers,” Sehgal tells Microsoft for Startups.

The GPU cluster additionally permits them to scale up their fashions as they develop their consumer base and knowledge sources, guaranteeing that their merchandise can deal with the rising demand and complexity. Working workloads on Azure additionally helps them seamlessly adjust to compliance insurance policies just like the Well being Insurance coverage Portability and Accountability Act (HIPAA) and Common Knowledge Safety Regulation (GDPR).   


Helfie.ai has developed specialised AI fashions, generally known as “AI Specialists,” fine-tuned for particular medical domains. As an example, the “Cardiology AI” is an LLM (Massive Language Mannequin) with complete information in cardiology, enabling customers to obtain expert-level responses just like these from an expert heart specialist. Helfie.ai accomplishes this by accumulating respected literature and documentation from the online to fine-tune each open-source LLMs and flagship GPT-series fashions.    

To create and monitor these fashions, Helfie.ai makes use of Azure ML Studio for machine studying experiments, hyperparameter optimization, and efficiency reporting. The corporate depends on Azure Kubernetes Service (AKS) for intensive computational duties, Azure OpenAI for multimodal LLM capabilities, and Azure AutoML for optimizing hyperparameters.  They ran each classification and laptop imaginative and prescient mannequin experiments on Azure ML. Via these experiments, Helfie.ai was capable of optimize hyperparameters together with very best n_estimators and max_depth.  

Helfie’s assessments usually contain visible or audio inputs, demanding outstanding computational bandwidth to coach their workloads. A big problem was re-training the pores and skin most cancers prediction mannequin utilizing smartphone pictures of lesions. To deal with this, Helfie.ai established its total coaching pipeline on Azure’s devoted GPU cluster, enhancing throughput per epoch as new knowledge from educational establishments necessitated frequent re-training.    

To deal with knowledge privateness, Helfie implements sturdy AI content material security insurance policies to make sure consumer interactions with specialist LLMs are secure and stay confidential. This contains Azure AI Content material Security Dashboard, a real-time dashboard that flags responses with potential dangers, serving to to forestall any dangerous consumer actions.  

Helfie.ai’s merchandise—Vitals AI, Respiratory AI, STI AI, and Pores and skin AI—are actually obtainable on Azure Market.

Devoted GPU clusters can be found for startups on Microsoft for Startups who’re backed by one among Microsoft’s strategic VC companions: Microsoft expands free Azure AI infrastructure entry to startups | Microsoft for Startups Weblog, together with Startups who’re lively within the Pegasus Program.

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