University of Sheffield

University of Bradford

Hyderabad Eye Institute

Cognitivecare Inc.

Prashant Garg

Stephen Rimmer

Charles William Ian Douglas

Suresh Venkata Satya Attili

Naresh Nelaturi

Venkata Narasimham Peri

Errol R Norwitz

Chetan Chavan

Sheena Gill

Jagannadha Ganti

Pavan Verkicharla

Manoj Ramesh Teltumbade

According to an embodiment, disclosed is a system comprising a processor wherein the processor is configured to receive an input data comprising an image of an ocular region of a user, clinical data of the user, and external factors; extract, using an image processing module comprising adaptive filtering techniques, ocular characteristics, combine, using a multimodal fusion module, the input data to determine a holistic health embedding; detect, based on a machine learning model and the holistic health embedding, a first output comprising likelihood of myopia, and severity of myopia; predict, based on the machine learning model and the holistic health embedding, a second output comprising an onset of myopia and a progression of myopia in the user; and wherein the machine learning model is a pre-trained model; and wherein the system is configured for myopia prognosis powered by multimodal data.

Myopia ocular predictive technology and integrated characterization system

The present invention relates to polymer conjugates. More specifically, the present invention relates to polymer conjugates capable of binding to fungi, to compositions comprising these conjugates and to the use of these conjugates for detecting the presence of fungi in a sample such as, for example, a biological sample. The present invention also provides for the use of said polymer conjugates in the treatment of a fungal infection.

Conjugates comprising a temperature-responsive polymer and a ligand capable of binding ergosterol

The present invention relates to hydrogel compositions comprising polymer conjugates capable of selectively binding to fungi, Gram positive bacteria and/or Gram negative bacteria. The hydrogel compositions can be used for detecting the presence of fungi, Gram positive bacteria and/or Gram negative bacteria in a sample.

Hydrogel compositions

Growing community of inventors

Hyderabad Telangana, India

Prashant Garg