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Archives: Technologies

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Revolutionizing Organic Synthesis: High Shear Technology for Rapid, High-Yield Peptide Production

Application:           The synthetic peptide therapeutics market is experiencing remarkable growth, projected to reach $49.5B by 2027, driven by increasing applications in cancer treatment, metabolic disorders, and rare diseases. Cancer therapeutics alone account for over 20% of the market, with neuropeptides emerging as a rapidly growing segment due to rising neurological and autoimmune disorders. Despite this […]...
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  • Category: Chemistry & Nanotechnology, Pharmaceuticals
  • Keywords: PS - Processes

Leader Research:

Prof. Chaim Gilon

Faculty of Science

Prof. Mattan Hurevitch

Faculty of Science

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Brainwatch: A Device for Continuous Pupillary Assessment with Closed Eyelids for Neurological Conditions in Comatose Patients

Application: Our Innovation: Brainwatch delivers a real-time, continuous, and automatic pupil reflex monitoring system for assessing the neurological status of unconscious patients. The system is specifically designed for patients with: Advantages: Commercial Opportunity: We are seeking strategic partnerships with medical device companies for the development and commercialization of this innovative neurological monitoring technology, with potential for licensing […]...
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  • Category: Medical Devices & Digital Health
  • Keywords: Medical device

Leader Research:

Dr. Amnon Buxboim

School of Computer Science and Engineering

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Fatty Acid Amides Treatment of Osteoporosis for Prader-Willi Syndrome

Application: Prader-Willi Syndrome (PWS) presents significant challenges in bone health, including reduced bone density, increased fracture risk, and osteoporosis. Current treatments for osteoporosis provide limited effectiveness in PWS due to the complex genetic factors involved. This technology addresses a critical need for an effective, targeted therapeutic solution that supports bone remodeling and mass in PWS […]...
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  • Category: Pharmaceuticals
  • Keywords: Bone / Cartilage, Small molecule

Leader Research:

Prof. Joseph Tam

School of Medicine - IMRIC

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Sustainable production of surfaces from composite materials through auto-morphing

Application: Our innovation: A sustainable manufacturing alternative for architectural elements in free geometry, through the self-shaping of thin sheets from composite materials, in an efficient, cost-effective, and pollution-reducing fabrication process, which does not require the use of molds and reduces transportation volumes. Advantages: Opportunity:                 Creative Differences, by Automorph London design biennale 2023, Somerset House ‘The […]...
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  • Category: Chemistry & Nanotechnology, Sustainability & Environment
  • Keywords: PS - Cleantech, PS - Composites

Leader Research:

Prof. Eran Sharon

Faculty of Science

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Targeting UFMylation: Developing Novel Drugs for Alzheimer’s Disease Intervention

Application: Our innovation: Advantages: Commercial Opportunity: Our method will bring to the development of new drugs for Alzheimer’s Disease, since the UFMylation pathway regulates protein homeostasis and ER stress response, key factors in neurodegeneration and amyloid accumulation. The same approach can be applied to breast and lung cancers, where UFMylation controls cell survival pathways and […]...
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  • Category: Pharmaceuticals
  • Keywords: HC - CNS & Neuroscience

Leader Research:

Dr. Reuven Wiener

School of Medicine - IMRIC

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New Sustainable Superhydrophobic Coatings

Application:           Superhydrophobic coatings are of high importance for generating self-cleaning surfaces that can also prevent corrosion, biofouling, fogging, and icing. Current superhydrophobic materials, often based on fluorinated compounds, pose environmental concerns, have high fabrication costs, and exhibit low stability. Our innovation: A new fabrication method for fluorine-free superhydrophobic coatings by using an individual commercially available […]...
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  • Category: Chemistry & Nanotechnology, Medical Devices & Digital Health

Leader Research:

Prof. Meital Reches

Faculty of Science

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Spreadable Solar Cells

Application: We developed a spreadable and flexible solar with very high efficiency. The cell can be applied on large, uneven, or curved surfaces like buildings. Furthermore, it will be both sustainable and low-cost, offering an environmentally friendly alternative to traditional photovoltaic materials. Our innovation: We developed novel solar cell-based devices on a chiral nematic CNC-QDs […]...
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  • Category: Chemistry & Nanotechnology
  • Keywords: AG - Materials, PS - Coatings, PS - Energy

Leader Research:

Prof. Yossef Paltiel

School of Computer Science and Engineering

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Nano particles to eliminate parasitic-weeds of tomato, carrot and other plants

Tomatoes and some other plants exude strigolactones from their roots that attract the parasitic weed Orobanche aegyptiaca זרעי הצמח הטפיל עלקת מצרית . These weeds kill the plants. The idea is to use silica particles to absorb the strigolactones and then the weed will not get attracted to the plant....
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  • Category: AgTech
  • Keywords: AG - Plant Protection & BioControl

Leader Research:

Dr. Yael Mishael

Faculty of Agricultural, Food and Environmental Quality Sciences

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An AI diagnostic test to predict the development of head and neck cancer metastasis

Application: Our innovation: Our technology is a diagnostic test based on genomic analysis, algorithmics, and artificial intelligence (AI). It is performed on tissue obtained from the biopsy of oral cavity cancer patients. Our test measures the expression level of determined genes that are related to the spread of cancer through the lymphatic system. Advantages: Opportunity:                 […]...
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  • Category: Diagnostics
  • Keywords: Diagnostics, Oncology / Cancer

Leader Research:

Dr. Yoav Smith

School of Medicine - IMRIC

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Machine Learning Classification and Monitoring of Retinal Atrophy in OCT Scans

Highlights •New method for the identification and quantification of age-related macular degeneration end-stage retinal degenerations and dystrophies (cRORA and GA atrophy) in OCT scans and their visualization in the corresponding infrared (IR) image. •The method is based on the classification of light scattering patterns in columns of vertical pixel-wide vectors in OCT slices in which atrophy is present with a custom column-based CNN. •Atrophy lesions are computed on the IR image by projecting the atrophy segments formed by atrophy columns identified on the OCT slices. •Experimental results on 106 clinical OCT scans in which cRORA atrophy was identified in 2,952 atrophy segments yield a mean F1 score of 0.78 (std 0.06) and an AUC of 0.937, both close to the observer variability. •Computer-based detection and quantification of cRORA and other AMD atrophies can be performed at expert level and may be a useful clinical decision support and research tool for the diagnosis, follow-up and treatment of retinal degenerations and dystrophies....
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  • Category: Medical Devices & Digital Health
  • Keywords: HC - Imaging, HC - Ophthalmology

Leader Research:

Prof. Leo Joskowicz

School of Computer Science and Engineering

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